{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp09_archetype_breadth150_20260804","cell_id":"predictive_residual_processing__chemistry_materials","arm":"BREADTH_PROBE_ONE_SHOT","candidate_id":"predictive_residual_processing__chemistry_materials__P1","proposal_index":1,"version":0,"title":"Model-Residual Triage for Emerging Phases in Operando X-Ray Diffraction","problem":"During operando X-ray diffraction experiments, researchers must interpret a rapid sequence of detector frames in which the expected evolution of known diffraction peaks occupies most of the live analysis and display capacity. Weak emergent peaks, peak splitting, or unexpected texture changes can remain buried in otherwise predictable patterns until after the experimental window for changing conditions or collecting confirmatory measurements has passed.","actors":["Beamline scientist responsible for instrument operation","Materials researcher responsible for phase interpretation","Experiment principal investigator","Facility data and analysis pipeline owner"],"observable_state":"The live pipeline repeatedly processes and displays nearly unchanged diffraction patterns; frame-review queues accumulate; researchers attend mainly to dominant known peaks; and some material changes become apparent only when full raw frames are reprocessed after the experiment.","consequence":"A transient or metastable material phase may not receive confirmatory measurements while it is present, reducing the experiment team's ability to characterize the transformation pathway from the completed run.","affected_objective":"Preserve decision-relevant evidence of unexpected structural change during an operando experiment while reducing the live compute and human-attention burden imposed by predictable diffraction content.","intervention":"Add a shadow, model-residual analysis path beside the authoritative raw-data path. For each detector frame, a versioned forward model predicts the expected diffraction image from the current phase mixture, lattice parameters, instrument geometry, and declared uncertainty. The system compares prediction with observation, routes consequence- and precision-weighted residual regions to the live analyst, and uses validated residuals to propose slower model updates. Residual messages carry model version, timestamp, detector coordinates, uncertainty, and reconstructive context. Full raw frames remain archived; random and risk-stratified raw frames are reviewed independently; and drift, version mismatch, excessive reconstruction error, missing observations, or protected instrument conditions switch the live path back to full-frame presentation.","structural_mapping":[{"archetype_element":"Prediction Target Definition","domain_realization":"The expected two-dimensional diffraction intensity field for the next acquisition window, including peak positions, shapes, backgrounds, texture terms, detector coordinates, and an explicit reconstruction tolerance."},{"archetype_element":"Generative Model State","domain_realization":"A versioned forward diffraction model containing candidate phases, phase fractions, lattice parameters, instrument geometry, line-shape assumptions, and parameter uncertainties."},{"archetype_element":"Expected Behavior and Actual Behavior","domain_realization":"A predicted detector frame is generated before comparison with the timestamped raw detector frame and its acquisition provenance."},{"archetype_element":"Prediction Comparator and Prediction-Error Signal","domain_realization":"A signed spatial residual records observed-minus-predicted intensity, peak displacement, shape mismatch, and unexplained localized scattering."},{"archetype_element":"Precision-Weighting Rule","domain_realization":"Residual priority combines measurement uncertainty, persistence across frames, spatial coherence, proximity to known artifacts, and the scientific consequence of possible peak appearance or splitting rather than using intensity alone."},{"archetype_element":"Residual Propagation Channel","domain_realization":"The constrained live-analysis interface displays residual regions with reconstructed baseline context instead of requiring continuous inspection of every complete frame."},{"archetype_element":"Model-State Synchronization Rule","domain_realization":"Acquisition, residual computation, and analyst display accept residuals only when their forward-model version and geometry checksum agree."},{"archetype_element":"Update Rule","domain_realization":"Validated residuals enter a replay buffer for bounded, reviewable updates to phase fractions and model parameters at a slower cadence than live alerting."},{"archetype_element":"Raw-Signal Audit Sample","domain_realization":"Random frames and frames stratified by operating regime are reviewed from the independent raw archive to test what the predictor suppressed."},{"archetype_element":"Decompression Trigger and Safety-Critical Bypass Rule","domain_realization":"Excess reconstruction error, sustained residual drift, model disagreement, missing heartbeat, detector saturation, beam instability, or sample-environment excursions restore full-frame presentation and prevent automatic model updating."}],"mechanism_mapping":[{"mechanism_slug":"innovation_residual_filter","role":"Separates the portion of each measured diffraction frame not explained by the forward model while retaining uncertainty information.","counterfactual_removal":"Without the innovation calculation, the path becomes ordinary full-frame visualization or generic feature extraction and no longer represents model-relative error."},{"mechanism_slug":"precision_weighted_error_gate","role":"Allocates live attention to reliable or consequential residual structure, including small coherent changes that raw magnitude thresholds could demote.","counterfactual_removal":"Without precision and consequence weighting, detector noise or dominant-peak fluctuations can saturate the residual channel while weak phase evidence remains obscured."},{"mechanism_slug":"model_version_checksum_handshake","role":"Ensures the analysis service and analyst interface interpret each residual against the same phase and instrument model.","counterfactual_removal":"Without the handshake, a valid residual can be reconstructed against an incompatible baseline and appear as a false material change or conceal a real one."},{"mechanism_slug":"shadow_raw_channel_sampling","role":"Tests residual reconstruction and searches for systematic omissions using full detector frames selected independently of the predictive model.","counterfactual_removal":"Without raw sampling, the model can become self-confirming because only discrepancies it already knows how to expose are reviewed."},{"mechanism_slug":"raw_signal_fallback_switch","role":"Restores full-frame live analysis when predictive assumptions or observability controls fail.","counterfactual_removal":"Without fallback, drift, missing observations, or model failure could be mistaken for an absence of scientifically relevant change."}],"causal_chain":["A versioned physical model predicts the dominant diffraction pattern expected from the current material and instrument state.","The observed detector frame is compared with that prediction to produce a structured residual and reconstruction test.","Uncertain, artifact-like mismatch is separated from persistent or scientifically consequential mismatch through a precision-weighted gate.","Only selected residual regions, their baseline context, and provenance consume the scarce live-analysis channel, while authoritative raw frames remain independently archived.","The researcher can direct attention and confirmatory analysis toward unexplained structural changes during the experiment.","Validated residuals are replayed later to update the model, while independent raw samples test for blind spots and model lock-in.","Drift, reconstruction failure, protected instrument states, or model-version mismatch suspend residual triage and restore full-frame presentation."],"baseline":"The current baseline is continuous full-frame acquisition with raw archival, standard integration or peak fitting, and researcher inspection of complete patterns during or after the run; live attention is not explicitly allocated by model-relative reconstruction error.","nearest_rivals":["Fixed regions-of-interest that monitor intensities or positions of already selected peaks","Generic anomaly detection applied to reduced diffraction features without a reconstructive physical baseline","Adaptive acquisition that changes frame rate when a predefined statistic crosses a threshold","Lossy detector-image compression that reduces storage but does not use residuals as an interpretable teaching and attention signal"],"remaining_contrastive_claim":"The design-level contrast is the coupling of a synchronized, versioned forward diffraction model to a reconstructive residual channel that both allocates live scientific attention and supplies governed model corrections, while independent raw audits and explicit fallback prevent the predictor from defining away unmodeled phases.","authority_safety":{"decision_authority":"The experiment principal investigator decides whether residual views may inform scientific choices, while the beamline scientist retains exclusive authority over instrument and sample-environment changes and the facility data owner controls archival policy.","authorized_first_step":"The facility data owner may authorize an offline shadow replay of one completed operando diffraction run; the residual system may produce comparison outputs but may not alter acquisition, models used for published interpretation, or archived data.","excluded_actions":["Deleting, replacing, or downsampling the authoritative raw detector record","Automatically changing beam energy, exposure, temperature, pressure, electrochemical protocol, or other experimental controls","Treating an absent residual as proof that an observation was acquired or that the material is unchanged","Automatically adding or removing candidate phases from the scientific model without expert review","Using residual-only output as the sole basis for a safety-critical instrument decision"],"halt_rollback":"Stop the shadow path and return analysis to raw frames if model checksums differ, acquisition heartbeats are missing, reconstruction error breaches the predeclared tolerance, protected instrument metadata are abnormal, or a raw audit reveals unexplained structure. Because the first step is offline and read-only, rollback consists of discarding derived residual outputs while preserving the untouched raw run and analysis baseline."},"negative_tests":{"strongest_counterevidence":"In representative full-frame replays, scientifically important phase changes may lie inside the model's predicted subspace or appear as low-amplitude residuals indistinguishable from artifacts, so residual triage could suppress the very evidence it is intended to foreground.","problem_falsifier":"The problem is not present if blinded reviewers using the existing live full-frame workflow consistently identify all predeclared decision-relevant structural changes within the experimental decision window and live compute or attention queues do not constrain interpretation.","intervention_falsifier":"Reject the intervention for this use if, on the bounded replay, it misses any protected labeled event, cannot reconstruct decision-relevant frame content within the predeclared tolerance, produces residuals that analysts cannot interpret against the baseline, or consumes at least as much measured live compute and review effort as the existing workflow after model, synchronization, audit, and fallback costs are included.","risks":["A strong phase prior may absorb evidence for an unmodeled or minority phase.","Instrument drift, detector artifacts, or geometry errors may masquerade as material residuals.","Analysts may lose baseline context and overinterpret an isolated residual.","Fast model updates may learn away a transient phase or learn changes caused by experimental interventions.","Model-version desynchronization may create false residuals or incorrect reconstruction.","Residual thresholds may privilege intense crystalline features over weak, diffuse, or short-lived structure.","Maintaining the model and audits may cost more attention or compute than residual triage releases."]},"next_evidence_step":"Replay one completed operando diffraction run offline, limited to one material system and one declared transformation interval. Before generating residuals, have domain reviewers inspect the full raw sequence and mark decision-relevant changes, protected events, and artifact intervals without seeing residual output. Freeze one forward-model version and a confidence-threshold table, then compare the shadow residual view with the existing full-frame workflow on event preservation, time-to-review, reconstruction error, raw-audit disagreement, model-version failures, fallback triggers, compute consumed, and analyst attention consumed. Use the predeclared falsifiers to decide only whether a larger evaluation is warranted.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Not assessed because runtime isolation prohibits inspection of other proposals or experiment candidates; this candidate was derived only from the supplied archetype and chemistry-and-materials domain card.","revision_record":{"parent_version":null,"progress_targets_addressed":["Initial one-shot specification of a concrete chemistry-and-materials problem","Causal preservation of predictive residual processing","Operational authority, safeguards, falsifiers, and bounded evidence step"],"conceptual_changes":["None; this is the initial version."],"operational_changes":["None; this is the initial version."],"evidence_changes":["No prior-art or empirical evidence was searched or asserted."],"claim_changes":["No novelty, prevalence, demand, or effect-size claim is made."]}}