{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__operations_research","trajectory_id":"R","attempt_index":0,"candidate_sha256":"a359c181fed497fa402289d97f9b40f2c9b06ee352b3b55e92bf4195d90bf059","gates":{"G1":{"status":"PASS","reason":"The candidate identifies a domain-native problem—stale or overly conservative hard constraints excluding otherwise acceptable assignments—independently of the archetype framing."},"G2":{"status":"PASS","reason":"The feasible-set restriction, blocked assignments, protected constraint purpose, scoped redesign, incidence review, and rollback loop correspond directly to the source structure without collapsing constraints into generic inefficiency."},"G3":{"status":"PASS","reason":"Relaxing only validated proxy restrictions can admit previously excluded assignments into optimization, while offline replay and a bounded pilot can test whether this improves realized service rather than merely the modeled objective."},"G4":{"status":"PASS","reason":"The component translation is complete and internally consistent, and the selected mechanisms have distinct diagnostic, causal, evaluative, governance, and test-design roles with credible counterfactual-removal statements."},"G5":{"status":"PASS","reason":"Empirical propositions are explicitly bounded as hypotheses or inferences, prior-art status is disclosed as unsearched, and no unsupported factual or novelty claim is presented as established."},"G6":{"status":"PASS","reason":"The problem and intervention have separate falsifiers: alternative data, generation, or scarcity explanations can defeat the diagnosis, while replay or pilot outcomes can independently defeat the relaxation strategy."},"G7":{"status":"PASS","reason":"The authorized first step is non-live shadow analysis; constraint owners retain approval authority, absolute prohibitions remain excluded, and measurable halt and versioned rollback conditions govern any later pilot."}},"scores":{"structural_fit":{"score":4,"reason":"The proposal preserves the full wedge-protection-incidence-redesign-monitoring structure and explicitly guards against mistaking real feasibility limits for avoidable distortion."},"domain_fidelity":{"score":4,"reason":"Feasible sets, binding-constraint diagnostics, shadow optimization, objective sensitivity, solver candidate generation, and versioned constraint sets are native and correctly used operations-research constructs."},"causal_plausibility":{"score":3,"reason":"The causal chain is coherent, but gains depend on correctly identifying proxy restrictions and on downstream operational feasibility that the optimization model may omit."},"component_translation":{"score":4,"reason":"Every named component receives a concrete domain realization, including safeguards, incidence, compensation, sensitivity, authority, monitoring, and reversibility."},"adversarial_survival":{"score":4,"reason":"The candidate addresses the strongest category error, distinguishes nearby forecast and matching explanations, anticipates objective leakage and gaming, and supplies diagnosis-specific and intervention-specific failure tests."},"reframing_gain":{"score":4,"reason":"Treating selected hard constraints as potentially mixed bundles of reality, protection, and conservative proxy error yields a useful redesign frame beyond ordinary solver tuning."},"practicality_testability":{"score":4,"reason":"Frozen-instance replay, constraint isolation, precommitted outcomes, scoped authority, protected thresholds, and automatic restoration form a feasible staged test path."},"expected_value_risk":{"score":3,"reason":"Offline analysis is low exposure and the live path is bounded, but model omissions, execution complexity, demand rebound, and distributional displacement leave meaningful residual risk."},"novelty_evidence":{"score":0,"reason":"The candidate explicitly reports that prior art is unsearched, so distinctiveness relative to constraint relaxation, soft-constraint, and robust optimization practices is not established."}},"weighted_total":90,"disposition":"DEEP_RESEARCH","fabrication_findings":[],"weak_dimensions":["novelty_evidence"],"actionable_critique":[{"priority":"MEDIUM","issue":"Originality relative to established constraint-relaxation and soft-constraint methods remains unevidenced.","repair":"Conduct a targeted prior-art comparison and identify whether the protected-purpose audit, incidence controls, authority routing, and reversible testing package adds a distinguishable contribution.","evidence_boundary":"The packet supports structural and operational evaluation but explicitly marks prior-art status as unsearched."}],"repairs":[],"improvement_attribution":{"kind":"NONE","reason":"This is an original attempt with no prior problem or causal-lever identifier and no claimed revision; the remaining limitation is an evidence gap about novelty rather than an attributable improvement."},"trajectory_replacement":false,"arm_guess":"MECHANISM_PACKET","recommendation":"SUCCESS","tester_summary":"The candidate passes the reject-first gates as a strong, domain-faithful translation with a credible causal lever, comprehensive safeguards, distinct falsifiers, and a reversible test path. Its substantive quality supports advancement, while originality should be investigated rather than assumed."}