{"actors":["Athletes whose wearable and session records enter the performance-analysis workflow","Coaches who consume athlete-load summaries","Sport scientists who validate and interpret session records","Performance-data technicians who resolve ingestion and quality exceptions","The head sport scientist or designated data-governance lead"],"affected_objective":"Keep decision-eligible athlete-session data current enough for coaches to distinguish completed, validated exposure from records still awaiting quality control, without lowering validation standards or changing training automatically.","arm":"COMMON_P1","authority_safety":{"authorized_first_step":"The data-governance lead may authorize a read-only retrospective reconstruction of the ledger and a shadow-mode dashboard; this step may not alter athlete training, delete records, or change validation rules.","decision_authority":"The head sport scientist owns backlog-control settings and workflow allocation; coaches retain authority over training decisions, and athletes or authorized clinical staff retain authority over participation and health restrictions.","excluded_actions":["Automatically changing an athlete's training prescription from backlog indicators","Clearing records by bulk approval, silent deletion, or relaxed quality criteria","Using the dashboard for athlete discipline, selection, compensation, or public ranking","Expanding collection beyond already authorized data sources","Treating missing or unvalidated records as zero training exposure"],"halt_rollback":"Halt the pilot if record counts cannot be reconciled, access controls fail, staff begin treating unvalidated data as validated, or workflow changes delay urgent clinical escalation. Roll back by disabling alerts and routing, preserving the immutable ledger, and returning to the documented pre-pilot workflow."},"baseline":"Compare the shadow intervention with the same squad's documented current workflow over matched observation windows: existing upload, validation, exception handling, and reporting continue unchanged, while stock level, record age, inflow, clearance, transfers, and residuals are reconstructed without operational alerts.","candidate_id":"stock_flow_accumulation_control__sport_science__COMMON_P1","causal_chain":["Completed training sessions and late device synchronizations create athlete-session records faster or less regularly than validation clears them.","Unvalidated records persist as a stock even when the current daily upload rate is low.","If the stock and its age are not reported separately from upload and processing rates, partial summaries can appear current while older records remain unresolved.","A ledger reconciles opening stock plus uploads, reopened records, and transfers against validations, documented rejections, exception transfers, and closing stock.","Thresholds based on stock size, oldest-record age, and measured clearance capacity trigger bounded routing or staffing adjustments before the backlog exceeds the provisional band.","Age-prioritized clearance and exception routing reduce the net accumulation trajectory while preserving validation criteria.","Post-intervention reconciliation tests whether records were genuinely resolved rather than deleted, reclassified, or displaced into an unmonitored exception queue.","Controls are relaxed or retuned when stock level and turnover remain within the locally approved band."],"cell_id":"stock_flow_accumulation_control__sport_science","consequence":"Coaches may receive athlete-load summaries that omit unresolved sessions or incorporate them only after their decision window, creating avoidable uncertainty about completed exposure and weakening the audit trail behind subsequent training decisions.","diversity_from_prior_proposals":"The candidate centers on an observable analytical-work stock—unvalidated athlete-session records—and its clearance pathways, rather than defining an athlete's physiological stress or injury risk as the accumulated stock.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","intervention":"Install a shadow-mode stock-flow control ledger for unvalidated athlete-session records. Define one stock unit as one decision-eligible athlete-session record inside the boundary from successful upload or manual receipt until validated publication or documented rejection. Assign the performance-data lead as owner; measure from immutable ingestion, validation, and exception timestamps; and review daily. Record uploads, late synchronizations, and reopened corrections as inflows; validated publication and documented rejection as outflows; parser failures and identity mismatches as transfers to named exception stocks; deletions or unmatched files as leakage; and loss of decision relevance with age as decay. Reconcile daily observed stock change with net flows and expose residuals. In shadow mode, test a provisional target of no more than one median day of measured clearance capacity, a warning when the oldest decision-eligible record exceeds 24 hours, and a capacity alert above two clearance-days. Simulate age-prioritized triage, temporary reassignment of authorized analysts, and upstream device-support actions, while prohibiting automatic training changes or reduced quality checks. Monitor the primary stock and every exception stock before authorizing any live workflow change.","mechanism_mapping":[{"counterfactual_removal":"Without reconciliation, a falling upload rate or rising completion count could be mistaken for a shrinking backlog despite an inconsistent closing stock.","mechanism_slug":"stock_flow_balance_reconciliation","role":"Reconciles opening and closing counts with uploads, validations, rejections, reopenings, transfers, and leakage in a common athlete-session unit."},{"counterfactual_removal":"Without level and age thresholds, intervention timing would remain driven by anecdotes or visible failures rather than the accumulated state.","mechanism_slug":"accumulation_threshold_alert","role":"Flags when backlog size, clearance-days, or oldest-record age crosses provisional locally approved limits."},{"counterfactual_removal":"Without turnover tuning, a one-time cleanup could lower the stock briefly while the same inflow-clearance imbalance recreates it.","mechanism_slug":"clearance_turnover_tuning","role":"Tests age-prioritized triage and bounded analyst reassignment as levers on sustainable clearance."},{"counterfactual_removal":"Without probing named exception queues and unmatched files, apparent clearance could merely relocate unresolved records outside the main dashboard.","mechanism_slug":"hidden_accumulation_probe","role":"Tracks parser failures, identity mismatches, quarantined files, and unexplained residuals as coupled stocks."},{"counterfactual_removal":"Without compensating for processing and synchronization delays, controls could overreact to recent arrivals or ignore old decision-relevant records.","mechanism_slug":"delay_compensated_control","role":"Uses record age and measured arrival-to-validation delays when prioritizing work and interpreting the stock trajectory."}],"nearest_rivals":["A faster dashboard that reports upload and validation rates but does not maintain or reconcile the accumulated unresolved-record level","A one-time backlog-clearing sprint that leaves the long-run inflow-to-clearance imbalance unchanged","A downstream backpressure rule that pauses new uploads when analysts are busy, without governing the existing stock or exception reservoirs","A generic staffing or bottleneck analysis focused on analyst utilization rather than backlog level, age, turnover, and displacement"],"negative_tests":{"intervention_falsifier":"The intervention is falsified as a stock-control improvement if, across the bounded shadow period, reconstructed alerts and simulated routing do not produce a distinguishable change in projected closing stock or oldest-record age relative to baseline, or if any apparent reduction is explained by transfers, deletion, or relaxed validation.","problem_falsifier":"The proposed problem is falsified if retrospective reconciliation shows no persistent carryover between review periods, nearly all decision-eligible records clear before their summaries are used, and exception stocks and residuals remain negligible under the predeclared measurement rules.","risks":["Analysts may optimize counts by rejecting or reclassifying difficult records rather than resolving them.","Age-prioritized work may delay technically complex records or lower-priority research analyses.","Dashboard visibility may enable inappropriate surveillance or punitive use of athlete data.","Provisional thresholds may create alert fatigue or encourage unnecessary staffing oscillation.","Additional logging may add analyst workload and initially increase the measured stock by revealing hidden records.","Focusing on data timeliness could give coaches false confidence in the physiological interpretation of otherwise valid records."] ,"strongest_counterevidence":"A reconciled baseline showing that unresolved records are transient, do not survive into coaching decision windows, and are already fully represented in existing exception tracking would undercut both the inferred problem and the need for another control layer."},"next_evidence_step":"Using only already authorized audit logs, reconstruct 28 consecutive days for one squad. For each day, calculate opening stock + uploads + reopened records - validated publications - documented rejections ± named transfers = expected closing stock; compare it with observed closing stock, quantify residuals and record-age distribution, map exception stocks, and replay the provisional alerts and routing rules in shadow mode. Stop after the reconstruction and present the reconciliation and falsifier results to the data-governance lead before any live change.","observable_state":"Daily stock S(t) is the count of decision-eligible athlete-session records uploaded or manually received but not yet validated for publication or documented as rejected. The boundary begins at receipt and ends only at validated publication or reason-coded rejection. System audit timestamps provide opening stock, closing stock, age distribution, uploads, late synchronizations, reopened records, validations, rejections, deletions, and transfers to parser-failure or identity-mismatch queues. The performance-data lead owns the ledger and reviews it each workday. Reconciliation uses S(t2)=S(t1)+uploads+reopenings-validations-rejections±transfers-leakage; unexplained difference is retained as a residual rather than forced to zero.","prior_art_status":"UNSEARCHED","problem":"A sport-science unit may manage wearable-data processing by watching daily uploads and completed validations while failing to govern the accumulated stock of athlete-session records still awaiting quality control. Late synchronizations, parser failures, identity mismatches, and reopened corrections can carry across days, so acceptable-looking flow rates can coexist with an aging unresolved stock. The resulting summaries can be incomplete during the period when coaches use them, and apparent clearance can hide displacement into exception queues.","proposal_index":1,"remaining_contrastive_claim":"Unlike rate dashboards, cleanup sprints, or analyst-utilization fixes, this candidate is specifically a level-governance intervention: it should add value only when a persistent, decision-relevant stock can be reconciled to net flows and controlled without moving unresolved records into hidden queues.","revision_record":{"claim_changes":[],"conceptual_changes":[],"evidence_changes":[],"operational_changes":[],"parent_version":null,"progress_targets_addressed":[]},"schema_version":1,"structural_mapping":[{"archetype_element":"Accumulated stock, unit, boundary, owner, source, and cadence","domain_realization":"Count of unvalidated decision-eligible athlete-session records, bounded from receipt to validated publication or documented rejection, owned by the performance-data lead and measured daily from audit logs."},{"archetype_element":"Distinct inflow, outflow, conversion, leakage, decay, and transfer paths","domain_realization":"Uploads, late synchronizations, and reopenings enter; validation and documented rejection exit; parser failures and identity mismatches transfer to named exception stocks; deletions or unmatched files are leakage; decision relevance decays as records age."},{"archetype_element":"Net-flow balance and residual reconciliation","domain_realization":"Daily opening stock and event counts generate an expected closing stock that is compared with the observed closing count; mismatches remain visible as unexplained residuals."},{"archetype_element":"Target band, warning threshold, and capacity limit","domain_realization":"Shadow testing uses a provisional band of at most one median clearance-day, an oldest-record warning at 24 hours, and a capacity alert above two clearance-days, subject to local review."},{"archetype_element":"Levers on inflow, clearance, capacity, and demand","domain_realization":"Device-support corrections can reduce malformed inflow; age-prioritized triage and analyst reassignment can increase clearance; workload routing can temporarily expand capacity; none may relax validation standards."},{"archetype_element":"Delay, feedback, saturation, and displacement checks","domain_realization":"Arrival-to-validation delays, late synchronization, analyst capacity, repeated corrections, and transfers to exception queues are tracked so apparent improvement cannot be attributed to timing or hidden accumulation."},{"archetype_element":"Monitoring, retirement, and retuning","domain_realization":"Daily trajectories of main and exception stocks are reviewed; thresholds or routing controls are withdrawn or adjusted if reconciliation fails, harms appear, or turnover remains within the approved band without them."}],"title":"Stock–Flow Control for Unvalidated Athlete-Session Data","version":0}