{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C032","selector_replication":1,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":78,"causal_archetype_fit":90,"distinctiveness_prior_art_resilience":55,"operational_specificity":94,"falsifiability_test_quality":91,"adopter_partner_path":82,"deployability_complexity":61,"authority_safety_reversibility":95,"strict_potential":73,"empirical_partner_potential":86,"scrutiny_priority":78,"biggest_visible_risk":"The core architecture closely resembles familiar client prediction, delta synchronization, reconciliation, and snapshot fallback, leaving the contrastive claim highly vulnerable to prior art.","rationale":"The proposal is unusually specific, bounded to reversible geometry operations, and equipped with digest checks, protected bypasses, raw audits, and decisive simulator tests. The archetype is causally central because command-conditioned prediction creates both immediate feedback and the residual representation. However, the motivating problem may apply mainly to unusually constrained editor deployments, and the synchronization stack is complex relative to the prospective channel and interaction gains."},{"blind_id":"CANDIDATE_B","problem_reality_importance":91,"causal_archetype_fit":92,"distinctiveness_prior_art_resilience":76,"operational_specificity":95,"falsifiability_test_quality":94,"adopter_partner_path":94,"deployability_complexity":78,"authority_safety_reversibility":97,"strict_potential":88,"empirical_partner_potential":95,"scrutiny_priority":92,"biggest_visible_risk":"Emphasizing execution residuals may hide a uniformly mistaken selection or operation whose ordinary expected rows would have alerted the user.","rationale":"This addresses a consequential and readily observable pre-commit review problem, with the predictive residual serving a necessary attention-allocation function rather than decorative compression. The immutable snapshot, separate dry run, protected categories, complete-preview fallback, and shadow-only first study make the proposal bounded and safe. Its counterbalanced test can directly determine whether exception detection improves without degrading detection of mistaken scope, making it strong in both strict and partner lanes."},{"blind_id":"CANDIDATE_C","problem_reality_importance":95,"causal_archetype_fit":94,"distinctiveness_prior_art_resilience":82,"operational_specificity":91,"falsifiability_test_quality":93,"adopter_partner_path":91,"deployability_complexity":70,"authority_safety_reversibility":96,"strict_potential":87,"empirical_partner_potential":94,"scrutiny_priority":91,"biggest_visible_risk":"Predictable announcements may be indispensable orientation cues, so technically correct suppression could worsen accessibility and user confidence.","rationale":"The serial nature of speech makes the attention problem consequential and gives command-conditioned residual reporting a strong causal role. Protected-event bypasses, user control, reconstruction, heartbeats, raw replay audits, and an offline first step provide excellent safeguards and a decision-changing study. Deployment depends on reliable application manifests and accessibility-tree synchronization, but the decisive uncertainty—whether users lose orientation despite reduced queue load—is directly testable with an accessibility partner."},{"blind_id":"CANDIDATE_D","problem_reality_importance":80,"causal_archetype_fit":82,"distinctiveness_prior_art_resilience":58,"operational_specificity":90,"falsifiability_test_quality":90,"adopter_partner_path":89,"deployability_complexity":68,"authority_safety_reversibility":93,"strict_potential":69,"empirical_partner_potential":87,"scrutiny_priority":74,"biggest_visible_risk":"Plural legitimate task paths can make deviation from the model a weak proxy for breakdown, simultaneously flooding review with valid alternatives and suppressing routine-looking confusion.","rationale":"Review-capacity limits and buried breakdown evidence are credible, and the offline shadow comparison is feasible, safe, and falsifiable. Still, anomaly-guided session review looks comparatively close to established replay prioritization, while the archetype is less essential because simpler behavioral rules or sampling may capture much of the benefit. Model building, auditing, reconstruction, privacy constraints, and fallback could consume the same scarce research capacity the system aims to save."}],"rank_order":["CANDIDATE_B","CANDIDATE_C","CANDIDATE_A","CANDIDATE_D"],"top_choice":"CANDIDATE_B","portfolio_observation":"B and C are the strongest scrutiny targets: each applies the residual archetype to a genuinely scarce human-attention channel, preserves an independent full representation, and offers a safe partner study whose result can change deployment decisions. A is technically rigorous but especially exposed to familiar distributed-interaction prior art, while D has a credible study path but the weakest link between model-relative surprise and the underlying objective.","confidence":"HIGH"}