{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"predictive_residual_processing__chemistry_materials","portfolio_valid":false,"proposal_assessments":[{"proposal_index":1,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"The immutable baseline is operationally complete and faithfully implements prediction, signed residual transmission, synchronized reconstruction, governed updating, raw audits, safety bypasses, and full-signal fallback. It establishes the live experimental-spectroscopy opportunity against which later proposals are assessed."},{"proposal_index":2,"complete":true,"causally_faithful":true,"materially_distinct":false,"reason":"The atomistic archive is detailed and faithful, but relative to proposal 1 it mainly substitutes trajectory frames for spectra and adds a hierarchical feature. Both solve redundant scientific-stream representation with the same matched-predictor codec, residual archival, reconstruction, audit, synchronization, and fallback causal path."},{"proposal_index":3,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"The proposal completely specifies a residual-first campaign review workflow, including frozen candidate-level predictions, structured discrepancies, attention routing, owned follow-up, slower Bayesian revision, independent full-package audits, and decompression. Its affected decision and intervention differ materially from signal transmission or trajectory archival."},{"proposal_index":4,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"The proposal is complete and faithful. Its load-bearing intervention is an efference copy of an outgoing machine command used to predict and cancel self-generated sensor returns, exposing externally caused powder-layer interactions under raw audits, protected bypasses, synchronization, and fallback."}],"pairwise_assessments":[{"proposal_a":1,"proposal_b":2,"same_problem":false,"same_intervention":true,"independent_opportunity":false,"key_difference":"The observed objects and operational settings differ—remote Raman spectra versus simulated atomistic frames—but both apply the same reconstructive predictive codec to a high-volume scientific stream. Atom/neighborhood/system hierarchy is an added feature rather than a new causal intervention."},{"proposal_a":1,"proposal_b":3,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 1 reduces live spectral transmission and monitoring load by coding each acquired spectrum against a synchronized predictor; proposal 3 reallocates campaign-level review and follow-up capacity by routing candidate characterization contradictions into a governed learning workflow."},{"proposal_a":1,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 1 predicts chemical spectra from prior reaction state and context, whereas proposal 4 uses a copy of a machine command to cancel its expected mechanical and acoustic consequences so externally caused interactions remain."},{"proposal_a":2,"proposal_b":3,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 2 reconstructively archives every timestep of a computational trajectory; proposal 3 prioritizes human review and follow-up across discrete experimental candidates and revises a campaign belief model from validated contradictions."},{"proposal_a":2,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 2 compresses post-produced simulation states through multiscale dynamics prediction; proposal 4 performs command-conditioned cancellation on live physical-machine sensor returns to reveal external powder interactions and prompt inspection."},{"proposal_a":3,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 3 governs discovery-campaign attention and subsequent evidence collection using model-relative characterization discrepancies; proposal 4 separates self-generated from external signals during individual recoater passes using efference-copy causality."}],"replacement_indices":[2],"rationale":"All four proposals are operationally complete and preserve the archetype's governed prediction-residual-update architecture. The portfolio is invalid only because proposal 2 is not independent of the immutable proposal 1: changing the scientific signal from spectra to trajectory frames and adding hierarchical aggregation does not change the central predictive-codec intervention or its causal path. Replace proposal 2 with an opportunity having a different affected problem, intervention, and causal route."}