{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C033","selector_replication":3,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":65,"causal_archetype_fit":91,"distinctiveness_prior_art_resilience":64,"operational_specificity":94,"falsifiability_test_quality":93,"adopter_partner_path":74,"deployability_complexity":72,"authority_safety_reversibility":97,"strict_potential":68,"empirical_partner_potential":84,"scrutiny_priority":77,"biggest_visible_risk":"The proposal may be optimizing a weak or atypical workflow: formal-proof reviewers may not routinely inspect or exchange every complete intermediate proof state, so ordinary folding, diffs, and targeted dependency checks could remove most of the claimed burden.","rationale":"The predictive-residual architecture is causally central, carefully synchronized, exactly reconstructible, and protected by unusually strong bypass, audit, and rollback rules. Its archived-corpus replay could decisively test reconstruction, omissions, reviewer time, and total cost. The main uncertainty is upstream of the mechanism: the text does not establish that full proof-state transcript review is a consequential bottleneck rather than a specialized inconvenience."},{"blind_id":"CANDIDATE_B","problem_reality_importance":67,"causal_archetype_fit":89,"distinctiveness_prior_art_resilience":55,"operational_specificity":93,"falsifiability_test_quality":94,"adopter_partner_path":72,"deployability_complexity":65,"authority_safety_reversibility":96,"strict_potential":62,"empirical_partner_potential":86,"scrutiny_priority":75,"biggest_visible_risk":"The atlas may add prediction, synchronization, and audit machinery to a setting where complete finite-search results are already manageable and where anomaly detection, clustering, or direct protected-event filters provide most of the value.","rationale":"The proposal clearly separates predictions, computed outcomes, missingness, witnesses, and protected predicate failures, and its retained-full-result shadow study is strong and decision-relevant. A mathematical search partner could resolve the decisive uncertainty. Strict potential is reduced because the stated communication and inspection bottleneck is not demonstrated, while the core workflow looks vulnerable to collapse into familiar model-based anomaly triage over enumeration results."},{"blind_id":"CANDIDATE_C","problem_reality_importance":84,"causal_archetype_fit":92,"distinctiveness_prior_art_resilience":69,"operational_specificity":95,"falsifiability_test_quality":95,"adopter_partner_path":84,"deployability_complexity":73,"authority_safety_reversibility":97,"strict_potential":81,"empirical_partner_potential":92,"scrutiny_priority":88,"biggest_visible_risk":"A grouped batch-check report plus static dependency analysis may already isolate nearly all actionable migration consequences, leaving the predictive impact model as expensive review infrastructure with little incremental benefit.","rationale":"This proposal addresses a consequential, recognizable decision point: approving the downstream effects of a foundational theory revision. Prediction errors are the operative unit for reviewer attention and model correction, while complete checking remains independent and mandatory. The bounded archived-migration replay has clear adopters, planted failure modes, decision-changing endpoints, and a fully reversible first step. Its contrast is still exposed to existing-looking dependency-impact and batch-report practices, but the focus on unexpected survivals, realized dependency changes, complete-ledger reconstruction, and governed fallback gives it the best balance of strict and partner potential."},{"blind_id":"CANDIDATE_D","problem_reality_importance":88,"causal_archetype_fit":97,"distinctiveness_prior_art_resilience":47,"operational_specificity":96,"falsifiability_test_quality":97,"adopter_partner_path":83,"deployability_complexity":66,"authority_safety_reversibility":96,"strict_potential":70,"empirical_partner_potential":94,"scrutiny_priority":84,"biggest_visible_risk":"The central predictor-correction-residual loop is extremely close in appearance to ordinary validated numerical continuation, so scrutiny may find that certificate messaging, audits, and governance are additions to a known method rather than a durable contrastive intervention.","rationale":"The mathematical problem is real and consequential, the archetype is indispensable, and the proposal supplies exceptionally precise certification boundaries, cold-start audits, branch-transition bypasses, invalidation rules, and falsifiers. A validated-numerics partner could run the proposed mesh comparison and obtain decisive evidence. It ranks below C because its strict contrast is especially vulnerable to nearby predictor-corrector continuation and adaptive validated-solving practice, and its added verification and synchronization burden may erase the claimed savings."}],"rank_order":["CANDIDATE_C","CANDIDATE_D","CANDIDATE_A","CANDIDATE_B"],"top_choice":"CANDIDATE_C","portfolio_observation":"All four proposals are unusually specific, safe, and experimentally bounded, but each assumes that compressing predictable mathematical state materially reduces human or transfer burden after accounting for model maintenance, audits, and fallback. C offers the strongest decision-centered deployment path; D offers the cleanest partner-resolvable technical test but the greatest prior-art vulnerability; A and B most need confirmation that their stated bottlenecks exist at consequential scale.","confidence":"HIGH"}