{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","source_assessment_id":"invariant_mode_decomposition_design__biology_ecology:P5:v0","cell_id":"invariant_mode_decomposition_design__biology_ecology","proposal_index":5,"qualification":"EMPIRICAL_PARTNER_CANDIDATE","criteria":{"specific_differentiated_claim":{"status":"YES","reason":"The proposal makes a falsifiable application-level claim that a preregistered mode-aligned cue schedule will move a reproducible off-target transition mode and improve held-out multivariate performance beyond specified nonmodal comparators while satisfying explicit biological and model-validity guardrails."},"credible_problem_signal":{"status":"YES","reason":"Independent organoid studies and a major NIH standardization initiative document material batch variability, fidelity problems, and reproducibility needs, although the proposed modal explanation remains unverified."},"identifiable_partner_or_adopter":{"status":"YES","reason":"An organoid research laboratory with an approved line and protocol is a concrete experimental partner and authorizer class; NIH's Standardized Organoid Modeling Center is also an identifiable prospective adopter or funder."},"partner_access_is_necessary":{"status":"YES","reason":"Resolving mode reproducibility, cue response, estimator identifiability, batch drift, and comparative performance requires approved cultures, protocol-specific assays, laboratory infrastructure, and live independent-batch data unavailable through ordinary public research."},"safe_authorized_first_step":{"status":"YES","reason":"The first step is restricted to research-only wells, approved cell lines, existing permitted factors, bounded perturbations, institutional biosafety and tissue-governance controls, independent vetoes, preregistered stopping rules, and return to the standard protocol after failure."},"bounded_decisive_empirical_design":{"status":"YES","reason":"The two-batch blinded study freezes the model and thresholds before validation, then compares the modal schedule against standard, sham, best single-cue, response-surface, and direct-prediction schedules using prespecified primary outcomes, protected endpoints, and decisive falsifiers."},"no_material_negative_gate":{"status":"YES","reason":"All substantive pipeline gates are YES. Cost scope is uncertain, but it is not a safety, authority, problem, adopter, claim, or test-design stop and is not the sole rationale for partnership."},"not_merely_more_research":{"status":"YES","reason":"The next action is a specific preregistered experiment with fixed batches, arms, measurements, comparators, thresholds, success criteria, and rejection conditions rather than an open-ended request for additional research."}},"uncertainty_types":["INCREMENTAL_EFFECT","WORKFLOW_FIT","DATA_ACCESS","COST_SCOPE"],"partner_profile":"An established organoid research laboratory or standardized-organoid center with an approved research cell line, a fixed differentiation protocol, microplate culture capability, imaging and targeted molecular-assay access, quantitative modeling support, and protocol-owner, biosafety, tissue-governance, and quality oversight.","required_access":"One approved organoid line and fixed developmental window; protocol-specific standard and bounded cue-perturbation wells; two independent culture batches; blinded imaging, molecular, viability, morphology, stress, contamination, and cell-composition measurements; relevant batch and assay metadata; and authorized staff and core-facility access.","bounded_empirical_test":"Run one identification batch using the standard protocol and bounded one-at-a-time perturbations, then freeze the state vector, scaling, estimator, matched-well strategy, mode-matching rules, conditioning and spectral-gap limits, residual budget, targeted mode, schedules, and safety guardrails. In an independent batch, randomize and blind wells across standard, sham timing, best single-cue, response-surface, direct multivariate-prediction, and mode-aligned schedules and evaluate held-out mode movement, state-envelope distance, prediction error, protected biological outcomes, and model validity.","success_condition":"The targeted mode reproduces across resampling and independent-batch matching; the mode-aligned schedule moves it in the preregistered direction; it outperforms the strongest nonmodal schedule and direct predictor on the preregistered held-out multivariate outcome; and no maturation, viability, morphology, stress, contamination, residual, conditioning, spectral-separation, drift, or scope guardrail fails.","falsification_condition":"Reject the incremental claim if the mode disappears or rotates materially across resamples or batches, permitted cues do not move it as predicted, the modal schedule fails to beat both the best nonmodal schedule and direct predictor, or any protected-state, residual, conditioning, spectral-gap, drift, authorization, or scope limit fails.","rationale":"The mathematical components and adjacent organoid optimization practices are established, so this is not a claim of a novel general method. The remaining differentiated claim is narrow, comparative, and laboratory-condition-dependent. Credible problem and adopter signals exist, every material gate is affirmative, and a specific authorized partner can supply the live biological access required for a bounded experiment that can decisively support or reject the claimed incremental value."}