{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C043","selector_replication":2,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":88,"causal_archetype_fit":91,"distinctiveness_prior_art_resilience":76,"operational_specificity":92,"falsifiability_test_quality":90,"adopter_partner_path":83,"deployability_complexity":79,"authority_safety_reversibility":94,"strict_potential":84,"empirical_partner_potential":88,"scrutiny_priority":85,"biggest_visible_risk":"The contract may convert context-dependent judgments about indicator quality, interactions, and missingness into rigid technical trigger semantics.","rationale":"The proposal targets consequential silent changes in policy-review alerts and makes the behavioral-contract archetype essential through explicit temporal, revision, persistence, lifecycle, and replay semantics. Its synthetic two-adapter test is bounded, decision-relevant, and safely separated from live alerts. Scrutiny should examine whether signposts are sufficiently formalizable and whether this is distinct from mature event-sourcing and rules-engine assurance practices."},{"blind_id":"CANDIDATE_B","problem_reality_importance":79,"causal_archetype_fit":72,"distinctiveness_prior_art_resilience":69,"operational_specificity":84,"falsifiability_test_quality":82,"adopter_partner_path":78,"deployability_complexity":67,"authority_safety_reversibility":91,"strict_potential":68,"empirical_partner_potential":80,"scrutiny_priority":73,"biggest_visible_risk":"Decision-relevant scenario meaning may be inseparable from narrative, facilitation, or model context, making the proposed common behavioral surface either lossy or trivial.","rationale":"Translation drift in water scenarios is plausible and important, and the offline paired-adapter study could decisively test expressibility. However, scenario identity, implications, uncertainty, and defining drivers are contestable semantic judgments rather than naturally crisp component behavior. This weakens causal fit, makes implementation governance burdensome, and increases the risk that conformance preserves metadata while erasing substantive meaning."},{"blind_id":"CANDIDATE_C","problem_reality_importance":90,"causal_archetype_fit":94,"distinctiveness_prior_art_resilience":78,"operational_specificity":94,"falsifiability_test_quality":93,"adopter_partner_path":88,"deployability_complexity":77,"authority_safety_reversibility":95,"strict_potential":87,"empirical_partner_potential":92,"scrutiny_priority":89,"biggest_visible_risk":"A formally opaque handle system may still leak identities through metadata and may not preserve participant-experience features that affect elicitation quality.","rationale":"Eligibility, closure, withdrawal, aggregation membership, feedback provenance, and identity access are concrete stateful behaviors for which representation changes can materially alter a Delphi exercise. The synthetic protocol exercises invalid and rare transitions and can change an adoption decision without touching real experts or live records. Privacy engineering and contested methodological rules add complexity, but the partner study is unusually bounded and informative."},{"blind_id":"CANDIDATE_D","problem_reality_importance":91,"causal_archetype_fit":96,"distinctiveness_prior_art_resilience":80,"operational_specificity":96,"falsifiability_test_quality":95,"adopter_partner_path":89,"deployability_complexity":84,"authority_safety_reversibility":95,"strict_potential":92,"empirical_partner_potential":93,"scrutiny_priority":94,"biggest_visible_risk":"Formal lifecycle and scoring consistency may falsely objectify ambiguous or evolving forecast-resolution judgments.","rationale":"Forecast updates, closure boundaries, cancellation, resolution, and scoring form a naturally stateful object, so the archetype is causally central rather than decorative. The proposal gives precise invariants, typed failures, versioned scoring, immutable history, an independent oracle, and a compact corpus with boundary and precision cases. Its offline path is safe and highly falsifiable; scrutiny should focus on prior-art vulnerability and whether contextual qualifications can remain inside the bounded abstraction."}],"rank_order":["CANDIDATE_D","CANDIDATE_C","CANDIDATE_A","CANDIDATE_B"],"top_choice":"CANDIDATE_D","portfolio_observation":"All four offer credible offline conformance studies, but their value tracks how naturally the domain object admits stable state transitions. Forecast claims and Delphi rounds have crisp lifecycle semantics; adaptive signposts are also strong but more exposed to contextual indicator judgment. Scenario sets face the largest risk that representation-independent behavior cannot preserve the substantive object.","confidence":"HIGH"}