{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__veterinary_medicine","trajectory_id":"R","attempt_index":0,"candidate_sha256":"de32e4209b97d888ba9e656450660864c1eb28650af9fcea33f3370d4f38cff8","gates":{"G1":{"status":"PASS","reason":"Delayed recognition of coupled perianesthetic deterioration is defined as a clinically recognizable problem independent of modal analysis."},"G2":{"status":"PASS","reason":"The proposal explicitly translates the transformation, state, modes, gains, selection, stability partition, intervention map, residuals, drift, scope, coupling, local window, and spectral-gap governance."},"G3":{"status":"PASS","reason":"The proposed lever can expose reproducible growing combinations before coordinate thresholds and connects to benefit through clinician reassessment; the uncertain links are labeled and falsifiable."},"G4":{"status":"PASS","reason":"Selected mechanisms retain their distinct functions, rejected mechanisms have coherent reasons, and conditioning, non-normality, residual, coupling, and regime limitations are preserved."},"G5":{"status":"PASS","reason":"Clinical benefit and physiologic interpretation are consistently bounded as hypotheses or inferences, prior-art status is disclosed as unsearched, and no unsupported empirical result is asserted."},"G6":{"status":"PASS","reason":"Separate falsifiers test whether a coupled pre-threshold signal exists and whether mode-based alerts improve recognition or harmful-state duration beyond the nearest rival."},"G7":{"status":"PASS","reason":"Initial testing is retrospective and silent, ordinary monitoring remains active, clinicians retain authority, autonomous treatment and deliberate destabilization are excluded, and halt criteria are specified."}},"scores":{"structural_fit":{"score":4,"reason":"The candidate preserves the archetype's coupled transformation, invariant-direction, scalar-response, intervention, residual, drift, and bounded-validity structure in decision-relevant form."},"domain_fidelity":{"score":4,"reason":"The state variables, anesthetic phases, clinician roles, monitoring baseline, confounders, exclusions, and authorization constraints are specific to veterinary anesthesia practice."},"causal_plausibility":{"score":3,"reason":"Earlier visibility followed by clinician reassessment is coherent, but reproducibility, incremental lead time, and downstream benefit remain explicitly unvalidated hypotheses."},"component_translation":{"score":4,"reason":"Every named component has a concrete domain realization, including often-omitted coupling, conditioning, local-window, residual, and spectral-gap controls."},"adversarial_survival":{"score":4,"reason":"The candidate directly addresses nonstationarity, nonlinearity, partial observation, artifacts, clinician-action confounding, non-normality, subgroup harm, and rival-model performance."},"reframing_gain":{"score":4,"reason":"It shifts monitoring from isolated threshold breaches to the dynamics of coupled physiologic directions while preserving a clear clinical objective and bounded interpretation."},"practicality_testability":{"score":3,"reason":"Retrospective validation and silent prospective shadow testing are feasible and measurable, though concrete cohort sizing and endpoint thresholds remain to be preregistered."},"expected_value_risk":{"score":3,"reason":"The staged silent design limits immediate patient risk and could improve warning lead time, while false alerts, inequity, and inappropriate extrapolation remain material future-deployment risks."},"novelty_evidence":{"score":0,"reason":"The record explicitly states that prior art is unsearched and supplies no comparative novelty evidence."}},"weighted_total":87.5,"disposition":"DEEP_RESEARCH","fabrication_findings":[],"weak_dimensions":["novelty_evidence"],"actionable_critique":[{"priority":"MEDIUM","issue":"Prior-art novelty is unresolved.","repair":"Conduct a documented search comparing the proposed local modal warning design with veterinary anesthesia early-warning models, dynamical-systems monitoring, and mode-based clinical surveillance.","evidence_boundary":"No novelty conclusion can be drawn from the closed-book packet because its prior-art status is explicitly unsearched."},{"priority":"LOW","issue":"The validation protocol leaves cohort size and operational endpoint limits unspecified.","repair":"Preregister case eligibility, sample-size rationale, lead-time definition, false-alert burden, subgroup analyses, comparator training, and halt limits before validation.","evidence_boundary":"The packet defines the testing sequence and endpoint categories but not their operational values."}],"repairs":[],"improvement_attribution":{"kind":"NONE","reason":"This is an original attempt with no prior problem or causal-lever identifier and no claimed repairs or revisions."},"trajectory_replacement":false,"arm_guess":"MECHANISM_PACKET","recommendation":"SUCCESS","tester_summary":"The candidate is an unusually complete and well-bounded structural transfer: it defines an independent veterinary problem, uses modal mechanisms with causal restraint, supplies distinct falsifiers and a strong silent-testing safety envelope, and is ready for deep research despite unresolved prior art."}