{"actors":["Exercise physiologist","Laboratory technician","Sport scientist","Athlete or research participant"],"affected_objective":"Produce a traceable, analysis-ready physiological test record while preserving low-latency signal visibility needed to supervise the test safely and identify acquisition faults.","arm":"ORDINARY_DIVERSE_P2","authority_safety":{"authorized_first_step":"Replay one completed, de-identified graded-exercise test through an isolated shadow pipeline using copied instrument files; compare pipeline outputs without changing participant records, test procedures, or interpretations.","decision_authority":"The supervising exercise physiologist retains authority over test conduct and termination. The validated test repository is authoritative for analysis; the live buffer is provisional and may support acquisition checks but not diagnosis, eligibility, or return-to-play decisions.","excluded_actions":["Automatically changing workload stages or terminating a test from buffer data alone","Using provisional values for diagnosis, medical clearance, selection, or return-to-play decisions","Replacing or deleting original instrument files during consolidation","Silently interpolating, correcting, or excluding physiological measurements","Copying direct identifiers or unrelated health information into the fast layer"],"halt_rollback":"Halt the shadow test if source samples cannot be recovered, timestamps are altered without provenance, provisional values enter an authoritative report, or access controls fail. Disable promotion, preserve the untouched source copy, discard derived shadow records, and restore the prior read-only workflow."},"baseline":"During a graded exercise test, staff watch separate instrument displays and later export device files for manual alignment and cleaning. The live displays and exported files are not governed as coupled stores with explicit promotion, expiration, transformation, and reconciliation rules.","candidate_id":"fast_slow_store_coupling__sport_science__ORDINARY_DIVERSE_P2","causal_chain":["Metabolic, heart-rate, workload, and environmental instruments append timestamped samples to a test-scoped ring buffer while retaining their original source files.","The buffer exposes recent synchronized windows and acquisition-quality flags to the supervising staff without waiting for full-dataset validation.","A stage boundary, calibration anomaly, dropout threshold, or test completion creates an immutable transfer manifest before buffered samples can be overwritten.","The consolidation process verifies calibration identifiers, aligns clocks, preserves raw values, annotates artifacts and missingness, normalizes units, and links each derived field to its source sample and transformation version.","Only batches passing declared completeness and provenance checks are promoted into the validated test repository; failed batches remain quarantined with a reason and named reviewer.","Sequence numbers, hashes, and source-file comparisons reconcile the buffer manifest, instrument exports, and repository, routing gaps or conflicting timestamps to human review.","Analysis and reporting read only the validated repository, while the ring buffer expires after reconciliation and retains no independent authority."],"cell_id":"fast_slow_store_coupling__sport_science","consequence":"Without governed coupling, staff may have immediate signal visibility but later face missing, misaligned, ambiguously transformed, or irreproducible measurements; requiring the validated repository to serve live supervision instead could delay acquisition checks during the protocol.","diversity_from_prior_proposals":"This opportunity concerns high-frequency physiological instrument samples moving from a test-scoped acquisition buffer into a validated research dataset. Its affected problem is measurement integrity during laboratory testing, its intervention is an instrument-data transfer pipeline, and its causal path operates through manifests, clock alignment, calibration checks, artifact annotation, and batch reconciliation rather than consolidation of coaching observations into an athlete history.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","intervention":"Couple a test-scoped physiological-data ring buffer to a validated test repository. Instruments append timestamped samples to the bounded buffer for immediate acquisition monitoring, while stage boundaries, anomaly flags, and test completion generate immutable transfer manifests. A shadow consolidation service then checks calibration identity, clock alignment, sequence continuity, units, missingness, and artifact annotations without altering raw values. Reviewed batches are promoted to the repository with source hashes and transformation versions; failed batches are quarantined. The repository alone supplies analysis and reports, and the buffer expires only after manifest reconciliation confirms that every captured range was promoted, quarantined, or explicitly discarded.","mechanism_mapping":[{"counterfactual_removal":"Without a staging-to-canonical pipeline, rapid multi-instrument capture and validated analysis records would collapse into one workflow, either burdening live supervision or admitting unchecked samples into analysis.","mechanism_slug":"staging_table_to_canonical_warehouse_pipeline","role":"The ring buffer stages heterogeneous physiological samples, and the transfer process validates and normalizes them into the analysis-ready repository."},{"counterfactual_removal":"Without an append-only manifest and compaction record, overwritten buffer ranges, missing sequences, and later transformations could not be traced reliably to original instrument samples.","mechanism_slug":"commit_log_and_compaction_cycle","role":"Transfer manifests record captured ranges before eviction, while reviewed batches become compact validated tables without erasing raw-source lineage."},{"counterfactual_removal":"Without governed transfer from the live layer to durable storage, the buffer would be only a transient display aid and could not preserve acquired measurements for reproducible analysis.","mechanism_slug":"write_back_cache_with_durable_backing_store","role":"The bounded acquisition buffer supports low-latency monitoring and flushes manifested sample ranges into durable, reviewed storage."}],"nearest_rivals":["Writing every sample synchronously into the validated repository, which maintains one authoritative store but places validation and integration work on the live acquisition path","A live visualization cache regenerated from instrument files, which supports rapid viewing but has no duty to transfer captured samples into durable records","A file-drop intake queue, which holds exports temporarily but lacks stage manifests, consolidation transforms, promotion rules, and reconciliation","Independent instrument archives retained as raw files, which preserve device outputs but do not create a synchronized, validated cross-instrument test record"],"negative_tests":{"intervention_falsifier":"In shadow replay, falsify the intervention if any source sample lacks a traceable disposition, promoted tables differ from independently validated reference transformations, the buffer exposes data later than direct instrument displays beyond the preset latency budget, or reconciliation fails to detect an injected sequence gap, clock shift, calibration mismatch, or duplicate batch.","problem_falsifier":"The problem is unsupported if completed-test audits show that the existing workflow already provides timely cross-instrument acquisition checks and produces a single validated dataset in which every sample, exclusion, transformation, calibration identifier, and timestamp adjustment is traceable without unresolved discrepancies.","risks":["Buffer overflow could erase unmanifested samples.","Clock correction could create false temporal alignment.","Automated artifact labels could be mistaken for validated exclusions.","Transfer backlog could delay dataset availability.","Sensitive physiological data could be duplicated into a less controlled layer.","A faulty consolidation version could transform an entire batch consistently but incorrectly.","Staff could treat a fresh provisional value as more authoritative than a validated value."],"strongest_counterevidence":"If source-to-report audits consistently reconstruct every measurement and transformation while current live displays already reveal acquisition faults within the required supervision window, a second governed store would add operational complexity without addressing the stated tension."},"next_evidence_step":"Using one completed, de-identified test and untouched copies of its instrument exports, replay the proposed shadow pipeline. Inject one duplicate sequence, one missing range, one clock offset, and one mismatched calibration identifier. Record display latency, buffer overwrites, manifest completeness, sample-level provenance, discrepancies from an independently prepared reference dataset, quarantine decisions, and detection of each injected fault; make no participant, protocol, or reporting changes.","observable_state":"A test console shows a bounded recent-sample window labeled provisional, source-device status, buffer occupancy, sequence continuity, clock offset, calibration identifier, and pending manifests. A separate repository view shows only reviewed batches with raw-source hashes, normalized units, artifact and missingness annotations, transformation versions, promotion status, and reconciliation outcomes. A backlog panel lists the oldest unreviewed manifest and any captured ranges without explicit disposition.","prior_art_status":"UNSEARCHED","problem":"A laboratory exercise test generates high-frequency measurements from instruments with different clocks, formats, calibration states, and dropout behavior. Supervising staff need recent signals immediately to notice acquisition faults and oversee the protocol, while later biomechanical or physiological analysis requires a durable dataset with verified timing, units, provenance, missingness, and transformation history. Treating live displays as durable data risks untraceable or overwritten samples; validating every sample on the live path can interfere with timely supervision.","proposal_index":2,"remaining_contrastive_claim":"The proposal is not merely a visualization cache or temporary intake buffer: each captured sample range has a governed path through manifesting, validation, transformation, promotion or quarantine, durable provenance, and cross-store reconciliation.","revision_record":{"claim_changes":[],"conceptual_changes":[],"evidence_changes":[],"operational_changes":[],"parent_version":null,"progress_targets_addressed":[]},"schema_version":1,"structural_mapping":[{"archetype_element":"Fast Volatile Store","domain_realization":"A bounded, test-scoped ring buffer holding recent timestamped physiological, workload, and environmental samples for immediate acquisition monitoring."},{"archetype_element":"Slow Integrated Store","domain_realization":"A validated test repository containing synchronized, provenance-bearing raw references and analysis-ready measurement tables."},{"archetype_element":"Read/Write Routing Rule","domain_realization":"Instruments append to the ring buffer and retain source files; live acquisition checks read the buffer, while analysis and reporting read only promoted repository batches."},{"archetype_element":"Transfer Trigger or Cadence","domain_realization":"Workload-stage boundaries, declared acquisition anomalies, buffer-capacity thresholds, and test completion generate immutable transfer manifests."},{"archetype_element":"Consolidation Transform","domain_realization":"The pipeline verifies calibration identity and sequence continuity, aligns clocks, normalizes units, annotates missingness and artifacts, and records transformation versions without altering source values."},{"archetype_element":"Promotion and Eviction Rule","domain_realization":"A batch is promoted only after completeness, provenance, and review checks; failed batches are quarantined, and buffered ranges expire only after every manifest entry has an explicit disposition."},{"archetype_element":"Interference and Overwrite Guard","domain_realization":"Capacity thresholds trigger early manifesting, and sequence-number checkpoints protect untransferred ranges from silent ring-buffer overwrite."},{"archetype_element":"Freshness and Authority Marker","domain_realization":"Buffer values display provisional status and capture age; repository batches display validation state and remain authoritative for analysis."},{"archetype_element":"Consistency Reconciliation Check","domain_realization":"Sequence ranges, timestamps, calibration identifiers, and hashes are compared across buffer manifests, original instrument files, and promoted batches, with discrepancies routed to a named reviewer."}],"title":"Physiological Test Ring Buffer to Validated Dataset","version":0}