{"q": "Does within-class cumulative heritage carry any identifying variation separable from ordinal demonstration sequence, and is there a named exogenous shock (launch-manifest slip, mission-of-opportunity slot, directorate mandate, budget-line start/stop) that moves a class's heritage independently of its qualification cost to serve as an instrument or quasi-experiment?", "facet": "identification", "raised_by": "angrist_pischke", "priority": "high", "query_terms": ["instrumental variable learning curve endogenous cumulative experience", "exogenous variation flight demonstration sequence NASA mission manifest", "experience curve identification reverse causality cost"], "status": "open"}
{"q": "Compute, from the assembled panel, the within-class residual correlation between ln(CumHeritage) and a continuous calendar-year control after partialling out decade dummies, plus the VIF or first-stage partial R-squared of heritage net of time, to determine whether beta is separately identified from a generic secular trend (the Wright-vs-Moore observational-equivalence problem).", "facet": "empirics", "raised_by": "angrist_pischke", "priority": "high", "query_terms": ["Wright Moore observational equivalence cumulative output calendar time", "Nagy Farmer statistical basis technological progress collinearity", "experience curve time trend confound partial correlation VIF"], "status": "open"}
{"q": "State the exact conditional-independence assumption beta requires for a causal reading, write down one realistic unobserved driver of both early demonstration and low cost (propositional/codified maturity of the underlying theory), and show from the heritage chronology that this driver is fully captured by class, decade and starting-TRL covariates rather than leaving TRL as a bad control downstream of the same maturity.", "facet": "identification", "raised_by": "angrist_pischke", "priority": "high", "query_terms": ["conditional independence assumption selection on observables learning rate", "bad control technology readiness level downstream treatment", "propositional maturity codified knowledge confound cost flight order"], "status": "open"}
{"q": "What fraction of total identifying variation in beta comes from the single steepest within-class pair (AEGIS Opportunity-to-ChemCam), and does a Goodman-Bacon-style decomposition plus a leave-one-class-out (drop-AEGIS) re-estimation show the two-of-three decision rule survives removing the only documented same-capability second-platform pair?", "facet": "empirics", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["Goodman-Bacon decomposition weighted average two-group comparisons", "leave-one-out influence diagnostic small panel slope robustness", "AEGIS Opportunity ChemCam heritage reuse pair identifying variation"], "status": "open"}
{"q": "Operationalize a component-level heritage graph from NTRS and cFS dependency records (edges = documented flight-software/design-pattern reuse) and test rank-concordance between the within-class flight count and the cross-class component count; if the two orderings disagree, the within-class slope measures an analyst-imposed partition and the cross-class spec is a different estimand.", "facet": "measurement", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["Core Flight System cFS dependency graph component reuse", "recombinant technology combinatorial heritage Arthur lock-in", "cross-class software reuse rank concordance flight software provenance"], "status": "open"}
{"q": "Provide a falsifying observable that discriminates a genuine learning curve from a selection-into-favorable-conditions path, and identify any abandoned or stalled autonomy class (flew once, never reused despite a candidate successor) so the panel is not silently conditioned on survivors; a censored-data or matched not-reused-control design is required.", "facet": "rival", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["survivorship bias abandoned space technology demonstration not reused", "selection on cost increasing returns lock-in not efficient", "censored sample matched control technology adoption failure"], "status": "open"}
{"q": "Pre-commit to a funding-order monotonicity test: order the five capability classes by date-of-first-investment from TechPort start-date/funding records and test whether per-class slope rank tracks funding-sequence rank rather than ex-ante propositional-maturity rank; if it tracks funding sequence the build-or-wait use collapses to which basin JPL fell into.", "facet": "identification", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["TechPort project start date funding record capability class", "non-ergodic learning rate path dependence early investment sequence", "Wei Smith Sohn retrospective learning rate program-specific"], "status": "open"}
{"q": "Build a recombination-stock measure counting components inherited from any prior class from the cFS dependency graph and NTRS reuse statements, and show whether the within-class slope survives or inverts once true combinatorial heritage replaces the in-class count; the corpus currently holds only McComas framework descriptions, not a component dependency graph.", "facet": "measurement", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["Core Flight System reuse economics cost saved quantified", "combinatorial recombination stock cross-class components inherited", "NTRS flight software reuse statement dependency"], "status": "open"}
{"q": "Code each episode for flight-software-lineage and team continuity from authorship and cFS provenance, enter it alongside CumHeritage, and report whether the heritage slope survives the continuity control; the design currently carries no authorship-coding or provenance-coding step, so adaptive-expectations institutional continuity cannot be separated from artifact-level learning.", "facet": "mechanism", "raised_by": "brian_arthur", "priority": "high", "query_terms": ["flight software authorship team continuity JPL provenance", "adaptive expectations institutional continuity learning curve", "personnel overlap codebase continuity cost reduction aerospace"], "status": "open"}
{"q": "Can the cFS dependency record plus lessons-learned be assembled into a within-episode cross-class reuse-stock index, and will the candidate pre-commit to reporting the reuse-stock slope head-to-head against the within-class heritage-count slope rather than as a robustness check? This claim currently rests only on internal dissertation pointers and the christensen_c dossier and needs an external citation establishing cFS reuse-stock estimability.", "facet": "measurement", "raised_by": "christensen_c", "priority": "high", "query_terms": ["Core Flight System reuse stock index cost buy-down measurement", "codified knowledge substrate reusable flight software cost effect", "head-to-head reuse-stock versus heritage-count slope specification"], "status": "partial"}
{"q": "Re-cut the panel by job-defined clusters (close the perception-action loop without ground-in-the-loop) instead of artifact-based capability classes, identify a TechPort/NTRS scope observable that distinguishes a job-based heritage link from an artifact-class one, and report whether the slope survives, strengthens, or collapses under job-based fixed effects. This jobs-to-be-done critique currently rests on internal dissertation and dossier pointers and needs an external citation anchor.", "facet": "identification", "raised_by": "christensen_c", "priority": "high", "query_terms": ["jobs-to-be-done segmentation market product category mis-segmentation", "onboard closed-loop autonomy operational job clustering", "job-based fixed effects re-clustering capability class"], "status": "partial"}
{"q": "Construct a per-episode adoption-friction observable (schedule reserve consumed, descope events, review-board findings attributable to the autonomy element) from TechPort and lessons-learned, and test whether it falls with heritage; a falling qualification cost is consistent with flat or rising adoption cost if each host mission's resource-allocation process starves the low-margin autonomy line. This RPV-divergence claim rests only on internal dissertation/dossier pointers and needs an external citation.", "facet": "economics", "raised_by": "christensen_c", "priority": "high", "query_terms": ["resource allocation process RPV low-margin starve adoption friction", "schedule reserve descope review board autonomy line item cost", "cost to adopt versus cost to qualify autonomy host mission"], "status": "partial"}
{"q": "Construct a per-episode on-board execution share (fraction of the close-the-loop job performed on-board versus delegated to ground/Earth/COTS) coded from CONOPS, ops-team staffing, ground-software scope and downlink dependence, pre-commit to adding it alongside ln(CumHeritage), and report whether the negative autonomy-NRE slope survives controlling for venue share or collapses as a displacement (substitution) artifact.", "facet": "identification", "raised_by": "christensen_c", "priority": "high", "query_terms": ["onboard versus ground task allocation venue share autonomy", "conservation of attractive profits value migration value network", "displacement substitution artifact onboard NRE downlink dependence"], "status": "open"}
{"q": "Exhibit one documented Autonomous Systems and Robotics sequencing decision where an on-orbit-only slope would recommend differently than a total-cost-to-field accounting that nets the displaced ground burden, drawing the ground-cost side (per-episode ops-team staffing and downlink burden) from retrievable records; the netted quantitative on-board-vs-ground cost split is currently unbuilt and was not found in NTRS/OpenAlex.", "facet": "rival", "raised_by": "christensen_c", "priority": "high", "query_terms": ["operations cost reduction onboard autonomy ground staffing downlink", "total cost to field build-or-wait autonomy sequencing decision", "AEGIS EO-1 operations labor cost netted ground burden"], "status": "open"}
{"q": "Certify ontological commensurability of a within-class layer-1 (extracted autonomy NRE) versus layer-2 (NICM-class parametric imputation) cost pair from source records, and rule out that the layer-2 imputation endogenously re-expresses the experience curve being fit, contaminating beta; this requires the candidate's source cost ledger, which retrieval did not return.", "facet": "measurement", "raised_by": "dietz", "priority": "high", "query_terms": ["NICM parametric cost imputation endogenous learning assumption", "ontological commensurability documental layer cost construct", "three-layer cost normalization measurement error regressand"], "status": "open"}
{"q": "Map actual reusable software/verification artifact flow between episodes from NTRS heritage chronology and cFS provenance, show the fraction of real reuse that crosses a class boundary, and decide whether the within-class estimand is supportable or whether the essential unit is the reusable-component lineage; cross-class reuse fraction is not derivable from current retrieval.", "facet": "identification", "raised_by": "dietz", "priority": "high", "query_terms": ["cross-class software reuse fraction component lineage estimand", "NTRS heritage chronology flight software provenance map", "capability class boundary reusable component lineage unit of analysis"], "status": "open"}
{"q": "Operationalize transfer-realized heritage (codified knowledge actually ingested and accepted by the successor, a completed handoff with an authorized receiver) from TechPort lineage links and project documentation, re-fit beta with count replaced by realized transfer, and report whether the slope survives; TechPort lineage/ingestion records were not returned by retrieval.", "facet": "mechanism", "raised_by": "dietz", "priority": "high", "query_terms": ["transfer-realized heritage completed transaction accept act", "TechPort lineage link project ingestion reusable artifact", "Dietz transaction completeness production fact accept act heritage"], "status": "open"}
{"q": "Exhibit, for the five episodes, the completed reuse acts as a directed transfer graph (edge only where a named upstream artifact was demonstrably re-fielded downstream) and show the scalar within-class CumHeritage count is monotone in the in-degree of that graph; if graph and count disagree even on the AEGIS pair, the regressor measures a class label not a transfer.", "facet": "measurement", "raised_by": "dietz", "priority": "high", "query_terms": ["directed transfer graph named artifact re-fielded in-degree heritage", "AEGIS porting cost named module dependency edge", "CumHeritage count monotone graph in-degree verification"], "status": "open"}
{"q": "Certify observation by observation that the cost figure and the heritage edge share the same accounting boundary, producing a reconciliation table showing the reusing episode's NRE excludes the sunk qualification cost the producing episode already paid; if the producer's qualification cost silently reappears in the consumer's imputed NRE the negative slope is a double-counting artifact.", "facet": "identification", "raised_by": "dietz", "priority": "high", "query_terms": ["accounting boundary reconciliation sunk qualification cost double counting", "producer consumer ledger reused component cost assignment", "NICM imputed NRE boundary audit per observation"], "status": "open"}
{"q": "Re-cut the panel to count only episodes where all five Dietz transaction elements (named executor, production fact, accepting initiator, re-qualification accept act) are evidenced in TechPort/NTRS, dropping mere temporal precedence, and test whether the slope survives the completed-transfer subset versus the forward-only count; the comparison is untested at design stage.", "facet": "mechanism", "raised_by": "dietz", "priority": "high", "query_terms": ["completed-transfer subset five-element transaction heritage re-cut", "forward-only count versus completed transfer calendar adjacency", "TechPort NTRS evidence executor accept act re-qualification"], "status": "open"}
{"q": "Exhibit one real documented Autonomous Systems and Robotics sequencing decision (AEGIS reuse, AutoNav infusion, NICM cost-cap call) that the fitted slope, had it existed, would have flipped or quantitatively bounded under the institution's stated constraints (mission cadence, directorate budget lines, decadal priorities, appropriations windows); the actionability counterfactual is constructable from the public AEGIS record but not yet executed.", "facet": "governance", "raised_by": "gangale", "priority": "high", "query_terms": ["build-or-wait portfolio sequencing decision counterfactual learning rate", "mission cadence directorate budget appropriations constraint autonomy", "AEGIS reuse decision actionability NICM cost cap"], "status": "open"}
{"q": "Determine whose autonomy NRE the cFS/OpenSatKit reusable substrate development cost is (loaded on the first flying episode, distributed across downstream users, or excluded as fixed common cost), show from a retrievable cFS/GSFC funding or CONOPS record which appropriation line paid for the substrate, and demonstrate the assignment does not mechanically manufacture the negative slope; no public funding-line document was found this turn.", "facet": "identification", "raised_by": "gangale", "priority": "high", "query_terms": ["cFS GSFC appropriation funding line development cost amortized", "fixed common cost reusable substrate assignment learning slope", "Core Flight System funding directorate budget line"], "status": "open"}
{"q": "Specify the cross-class normalization mapping a unit of EDL heritage (one-shot irreversible event budget) onto a unit of onboard-planning heritage (revisable operations timeline) so the cumulative-heritage axis is dimensionally consistent, and demonstrate the fitted slope is invariant to that conversion; if a single Earth-referenced cost frame is assumed, identify the systematic distortion injected into beta.", "facet": "identification", "raised_by": "gangale", "priority": "normal", "query_terms": ["cross-class heritage normalization dimensional consistency EDL planning", "reference frame commensurability pooled experience curve slope", "invariance check unit conversion cumulative heritage axis"], "status": "open"}
{"q": "Demonstrate a unit of autonomy-qualification cost is denominated in one time-stable frame across the 1999-2023 panel given that NASA relocated where autonomy demand is paid (per-mission flight NRE to ground operations to shared reusable substrate), or concede the design implicitly assumes a per-mission-to-substrate conversion factor of 1.0 that no retrieved record validates; absent a frame-specific deflator, decade fixed effects cannot absorb a frame change.", "facet": "rival", "raised_by": "gangale", "priority": "high", "query_terms": ["frame change per-mission NRE ground operations shared substrate deflator", "venue shift autonomy cost denomination time-stable conversion factor", "decade fixed effect frame change institutional locus"], "status": "open"}
{"q": "Run a pre-registered power/false-negative Monte Carlo drawing synthetic panels from a true 15-20 percent learning rate with the actual class/decade structure and report the share of draws whose interval still contains zero, so a wide CI failing to reject H0 is not read as flat cost when the instrument is simply blind; the simulation must be executed on the assembled panel.", "facet": "empirics", "raised_by": "mccloskey", "priority": "high", "query_terms": ["Monte Carlo power false negative minimum detectable effect panel", "two-way fixed effects small N detection probability learning rate", "statistical power simulation experience curve tens observations"], "status": "open"}
{"q": "State ex ante the decision-relevant magnitude (learning rate in constant-year dollars against a representative cost-capped mission) that flips a JPL build-or-wait call, derive from NICM-class figures the smallest slope that changes a real portfolio decision, and report a loss function over the slope rather than an accept/reject star; the threshold and loss function must come from the candidate's own cost data.", "facet": "economics", "raised_by": "mccloskey", "priority": "high", "query_terms": ["decision-relevant magnitude loss function over slope build-or-wait", "NICM cost-capped mission threshold portfolio decision learning rate", "substantive significance oomph minimum decision-changing slope"], "status": "open"}
{"q": "Split the panel on the reliability flag: fit the slope on the audited subset where a separately-reported autonomy NRE figure exists and compare it to the imputed-heavy fit; if the negative slope lives only in imputed observations the curve is a cost-normalization artifact. The design currently only down-weights imputed observations and has not pre-registered the audited-vs-imputed split. This claim's evidence is currently only an internal dissertation pointer and needs an external measurement-error citation anchor.", "facet": "measurement", "raised_by": "mccloskey", "priority": "high", "query_terms": ["audited subset versus imputed slope reliability flag split", "non-classical measurement error imputation-driven negative slope", "inverse imputation error weighting versus subset estimation"], "status": "partial"}
{"q": "Construct the joint distribution of (significant, decision-determinate) outcomes from the actual class/decade degrees of freedom and NICM-class imputation error and report the fraction of H0-rejecting draws that still leave the per-doubling cost reduction too unbounded for a program office to act on; add a magnitude-precision gate to the decision rule before any significant slope is called decision-relevant.", "facet": "empirics", "raised_by": "mccloskey", "priority": "high", "query_terms": ["magnitude precision gate decision indeterminate significant interval", "joint distribution significant decision-determinate per-doubling reduction", "wide interval excludes zero oomph program office threshold"], "status": "open"}
{"q": "Find any TechPort+NTRS observable that discriminates the experience-curve story from the rival sequence-of-bespoke-negotiated-budgets story (mission politics, funding windfalls, PI continuity); if both fit the same points equally the negative slope persuades by metaphor. A PI-continuity or funding-windfall covariate, or an instrument for readiness orthogonal to TRL, is owed at build time.", "facet": "rival", "raised_by": "mccloskey", "priority": "high", "query_terms": ["PI continuity funding windfall covariate negotiated budget rival", "observational equivalence learning curve bespoke event metaphor", "instrument readiness orthogonal TRL selection on cost"], "status": "open"}
{"q": "State the implicit per-doubling cost reduction NASA's by-assertion justification already banks on, in its own units, and report whether the fitted NICM-based interval is narrow enough to confirm or overturn that specific assumed magnitude; the incumbent assumed slope is never quantified and no interval is fitted, so the contribution cannot yet demonstrate decision-relevance against the assumption it claims to replace.", "facet": "economics", "raised_by": "mccloskey", "priority": "high", "query_terms": ["incumbent assumed per-doubling reduction by assertion magnitude", "fitted interval confirm overturn prior assumption decision criterion", "NASA heritage cost assumption self-evident quantified"], "status": "open"}
{"q": "Construct a direct codification indicator from NTRS + cFS docs coding each episode as documented reusable component versus bespoke re-implementation and show empirically whether it diverges from the raw flight count across the panel; if they diverge a flat beta tells us nothing about learning. The per-episode coded data is the candidate's own and was not retrievable.", "facet": "measurement", "raised_by": "mokyr", "priority": "high", "query_terms": ["codification indicator reusable component bespoke re-implementation coding", "instrument validity flight count versus codified knowledge stock", "Mokyr propositional prescriptive knowledge cFS reusable framework"], "status": "open"}
{"q": "Assign each capability class an ex-ante propositional-maturity rank fixed before any cost figure is seen and test whether class-specific slopes order by that rank, so a pooled within-class beta does not confound a non-learning class with averaging a steep curve over a mature base with a flat one over an immature base; the maturity-ordered slope test is the candidate's own un-retrievable estimation output.", "facet": "mechanism", "raised_by": "mokyr", "priority": "high", "query_terms": ["ex-ante propositional maturity rank class-specific slope ordering", "heterogeneous learning rate mature versus immature base", "Mokyr widening propositional base extensible self-correcting technique"], "status": "open"}
{"q": "Measure whether the expected cost decline tracks team and institutional continuity (same JPL group, shared codebase, personnel overlap) rather than the abstract flight count, contrasting overlapping-team reuse against arms-length adoption; if a steep slope appears only where people and code carry over, the design measured tacit co-location not a transferable experience-curve parameter.", "facet": "identification", "raised_by": "mokyr", "priority": "high", "query_terms": ["team continuity codebase overlap tacit knowledge co-location slope", "knowledge spillover geographic localization arms-length adoption", "transferable experience curve parameter cross-center contractor"], "status": "open"}
{"q": "State now, before estimation, the minimum effective within-class sample the decision rule requires to detect a codification-by-heritage interaction at the pre-committed significance level, and commit to withdraw the codification-moderator claim entirely rather than report it as a suggestive non-finding if the panel cannot support the interaction. The candidate currently defers the power analysis and pre-commits to the suggestive-heterogeneity report instead; this rests only on internal dissertation pointers and needs the executed power number.", "facet": "empirics", "raised_by": "mokyr", "priority": "high", "query_terms": ["minimum effective sample power interaction codification heritage", "withdraw moderator claim suggestive non-finding pre-commitment", "interaction term power budget degrees of freedom small panel"], "status": "partial"}
{"q": "Demonstrate the NICM imputation inputs are orthogonal to the codification indicator by cross-tabulating the NICM input variables against the codification coding rule; if a codified class is mechanically assigned a lower imputed cost by the cost model, the steeper-slope-where-codified finding is a regressand-construction artifact. No operationalized codification coding rule currently exists, so the cross-tabulation cannot be exhibited.", "facet": "measurement", "raised_by": "mokyr", "priority": "high", "query_terms": ["NICM input orthogonal codification indicator cross-tabulation", "regressand construction circularity cost model codification cheaper", "maturity orthogonality versus codification orthogonality imputation"], "status": "open"}
{"q": "Exhibit from NTRS lessons-learned and cFS dependency documentation at least one within-class successor episode whose development team had no personnel or codebase overlap with the predecessor yet drew on the predecessor's codified components; if every documented cost reduction tracks intra-JPL personnel continuity, the design measures labor-hoarding inside one institution not a transferable Mokyrian access-cost decline. No zero-team-overlap reuse case is exhibited and live retrieval surfaced none.", "facet": "mechanism", "raised_by": "mokyr", "priority": "high", "query_terms": ["zero team overlap arms-length codified component reuse case", "Core Flight System reuse economics cross-team cost saved", "labor hoarding intra-JPL continuity versus access-cost decline"], "status": "open"}
{"q": "Code each panel episode on the 1-10 level for each of the four Parasuraman-Sheridan-Wickens stages (information acquisition, analysis, decision/action selection, action implementation) and test whether same-class episodes share the same stage-level vector; if within-class stage-level variance is large the cumulative-heritage count sums non-comparable units and the slope is uninterpretable. The four-stage authority vector was never coded.", "facet": "identification", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["Parasuraman Sheridan Wickens four stage authority level vector coding", "levels of automation within-class variance non-comparable units", "stage-level autonomy vector capability class unit of analysis"], "status": "open"}
{"q": "Add decision/action-stage authority level as a regressor alongside cumulative heritage and report whether the heritage coefficient survives; the marginal V&V cost concentrates at high decision/action authority, and because no authority-level term is in the model any negative heritage slope is confounded with an unmodeled level effect that would be mislabeled as learning.", "facet": "measurement", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["decision action authority level regressor V&V cost confound", "authority level competing regressor heritage coefficient survives", "out-of-the-loop verification burden high automation authority"], "status": "open"}
{"q": "For each within-class heritage pair, extract whether the successor operated at a higher decision/action authority level than its predecessor, and show the falling cost is not a level change priced as heritage; if cost rose or stayed flat precisely where authority rose, that is a rival the forward-only counting rule does not address. The authority-level delta was never extracted.", "facet": "rival", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["authority level delta heritage pair successor predecessor cost", "EO-1 closed-loop retasking decision authority increase", "forward-only counting rule level change rival learning"], "status": "open"}
{"q": "Build an authority-weighted qualification-burden index per episode from the documented V&V record (Remote Agent, AEGIS, AutoNav) and show the heritage slope is identified holding action-stage authority fixed, not confounded by authority entangled inside the regressand; a Level-7+ action-implementation autonomy committing an irreversible burn/landing demands categorically heavier V&V than a Level-2/3 advisory.", "facet": "measurement", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["authority-weighted qualification burden index V&V record episode", "action-stage authority fixed heritage slope identification", "verification validation cost space autonomous systems authority"], "status": "open"}
{"q": "For the AEGIS Opportunity-to-ChemCam pair and Remote Agent, state whether any documented descope of off-nominal coverage, deferred fault cases, or operations-phase anomaly attributable to the autonomy occurred (the lumberjack effect pushing the un-handled exception into operations), and show the falling slope is not partly successors qualifying a narrower exception envelope more cheaply. No specific descope or anomaly record was returned this turn.", "facet": "rival", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["lumberjack effect off-nominal coverage descope exception envelope", "operations-phase anomaly autonomy deferred fault case narrower scope", "AEGIS Remote Agent exception envelope scope reduction cost"], "status": "open"}
{"q": "Re-tag every episode with its dominant Parasuraman-Sheridan-Wickens stage, report the cross-tabulation of capability class against dominant stage, and state which within-class heritage pairs survive a same-stage restriction; pooling an acquisition/analysis-stage demonstration with an action-implementation-stage successor sums non-commensurable learning objects that the within-class fixed effect does not purify.", "facet": "identification", "raised_by": "sheridan_verplank", "priority": "high", "query_terms": ["dominant PSW stage cross-tabulation capability class same-stage restriction", "non-commensurable learning objects acquisition analysis action implementation", "AEGIS AutoNav Remote Agent stage profile decomposition"], "status": "open"}
{"q": "MODERATOR MISSING ANGLE: no panelist tested the construct validity of the dependent-variable deflation/constant-year normalization itself (the third cost layer), namely whether the price index applied to multi-decade autonomy NRE introduces a deflator-choice bias that correlates with calendar time and hence with cumulative heritage; the cross-class and authority-level critiques attacked the heritage regressor and the imputation layer but left the deflation step's index selection unexamined as an independent threat to beta.", "facet": "measurement", "raised_by": "moderator", "priority": "high", "query_terms": ["constant-year deflation index NASA cost real dollars NNCI", "deflator choice bias correlated calendar time experience curve", "price index multi-decade NRE normalization sensitivity"], "status": "open"}