{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C034","selector_replication":3,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":84,"causal_archetype_fit":82,"distinctiveness_prior_art_resilience":55,"operational_specificity":94,"falsifiability_test_quality":93,"adopter_partner_path":88,"deployability_complexity":69,"authority_safety_reversibility":96,"strict_potential":78,"empirical_partner_potential":89,"scrutiny_priority":82,"biggest_visible_risk":"The synchronized residual architecture may add substantial model, registration, audit, and fallback cost without materially improving on fixed layout subtraction or full-tile triage.","rationale":"The proposal addresses consequential inspection bottlenecks with a tightly bounded layer-and-recipe scope, reconstructable residuals, independent raw audits, explicit failure states, and an excellent shadow comparison. Its vulnerability is that expected-image subtraction is a close rival and the claimed constrained-path advantage depends on SEM predictability, reliable registration, and net capacity savings after extensive safeguards."},{"blind_id":"CANDIDATE_B","problem_reality_importance":91,"causal_archetype_fit":95,"distinctiveness_prior_art_resilience":58,"operational_specificity":95,"falsifiability_test_quality":95,"adopter_partner_path":91,"deployability_complexity":58,"authority_safety_reversibility":94,"strict_potential":80,"empirical_partner_potential":93,"scrutiny_priority":87,"biggest_visible_risk":"A timing or model error could cancel genuine tip-sample interactions, making the defining mechanism hazardous precisely when the residual appears quiet.","rationale":"Copying actuator commands to predict and remove self-generated response gives the archetype unusually strong causal necessity, and the hardware-in-the-loop shadow study can decisively test latency, reconstruction, and protected-event preservation. The proposal is nevertheless vulnerable to close resemblance to feedforward compensation and innovation filtering, while real-time synchronization, probe drift, and over-cancellation complicate deployment."},{"blind_id":"CANDIDATE_C","problem_reality_importance":93,"causal_archetype_fit":89,"distinctiveness_prior_art_resilience":62,"operational_specificity":96,"falsifiability_test_quality":96,"adopter_partner_path":95,"deployability_complexity":73,"authority_safety_reversibility":97,"strict_potential":85,"empirical_partner_potential":96,"scrutiny_priority":91,"biggest_visible_risk":"Conventional compression or threshold-triggered ring buffers may preserve the same translocation evidence with less synchronization, buffering, and model-governance overhead.","rationale":"The multichannel bandwidth problem is concrete, the residual is reconstructive rather than merely an alert, and buffered event context directly addresses subtle or atypical passages. A partner can test the decisive claims offline on complete traces under equal resources, including packet loss, weak events, reconstruction, and total cost, with a particularly safe and reversible first step."},{"blind_id":"CANDIDATE_D","problem_reality_importance":74,"causal_archetype_fit":79,"distinctiveness_prior_art_resilience":49,"operational_specificity":93,"falsifiability_test_quality":92,"adopter_partner_path":85,"deployability_complexity":66,"authority_safety_reversibility":96,"strict_potential":68,"empirical_partner_potential":85,"scrutiny_priority":73,"biggest_visible_risk":"The asserted supervision-capacity bottleneck may be weak, leaving a complex predictive residual hierarchy with little advantage over complete-spectrum multivariate monitoring.","rationale":"The bounded replay, signed spectral residuals, raw audits, and non-actuating authority model are strong. However, the hierarchy appears vulnerable to being decorative around standard trajectory monitoring, and the proposal must first establish that complete-spectrum processing or chemist attention is genuinely constrained and that reconstruction-oriented residual transport improves decisions rather than merely changing representation."}],"rank_order":["CANDIDATE_C","CANDIDATE_B","CANDIDATE_A","CANDIDATE_D"],"top_choice":"CANDIDATE_C","portfolio_observation":"All four proposals are unusually testable and reversible, but their main vulnerability is whether predictive residual infrastructure beats simpler close rivals after full synchronization, audit, fallback, and maintenance costs. C offers the strongest combination of a concrete capacity constraint and decisive partner-resolvable evidence; B has the most causally essential archetype but greater safety and implementation risk; D most needs validation that its underlying bottleneck is material.","confidence":"MODERATE"}