{"cases":[{"alternative_route_blocks":[],"case_id":"E14A036__DIRECT","case_type":"DIRECT_POSITIVE","domain":"Clinical laboratory specimen intake","intended_route_id":"B1","omitted_condition_id":null,"remedy_leakage_audit":"The statement reports timing, capacity, and consequences without suggesting scheduling, staffing, buffering, or other corrective action.","route_evidence":[{"condition_id":"ext001_load_leveling_or_demand_smoothing_a01","intended_status":"SATISFIED","scenario_evidence":"End-of-day courier synchronization produces a 75-minute intake surge above the laboratory's safe processing rate, although total daily volume is modest relative to capacity."}],"scenario_text":"A regional clinical laboratory receives blood specimens from 46 outpatient practices. Most practices hold completed samples for a single courier pickup shortly before closing, so vans from several routes reach the accessioning room between 4:45 and 6:00 p.m. During that window, as many as 1,350 tubes arrive per hour, while the staffed intake benches and barcode analyzers can safely register about 820. Trays accumulate in the receiving corridor, refrigerated specimens remain unreconciled longer than policy allows, and technicians report more labeling exceptions when the queue is deepest. Outside that interval, the same benches frequently sit idle, with incoming volume below 250 tubes per hour. Across the full operating day, the laboratory receives roughly 4,900 tubes—well within what the existing team and equipment could process at their normal sustained rate. Equipment logs show no recurring breakdown, and the practices contributing to the evening influx vary from day to day, but their pickup and closing times remain closely aligned.","scenario_title":"Evening Backlog in Specimen Accessioning","vocabulary_separation_audit":"Uses concrete clinical logistics language and avoids archetype terminology, abstraction labels, and supplied predicate wording."},{"alternative_route_blocks":[],"case_id":"E14A036__TRANSFER","case_type":"TRANSFER_POSITIVE","domain":"Online ticketing authentication infrastructure","intended_route_id":"B1","omitted_condition_id":null,"remedy_leakage_audit":"The statement contains observations and constraints only; it does not recommend changes to release timing, infrastructure, queues, or customer behavior.","route_evidence":[{"condition_id":"ext001_load_leveling_or_demand_smoothing_a01","intended_status":"SATISFIED","scenario_evidence":"Simultaneous ticket-sale openings drive short authentication bursts beyond the service's reliable throughput even though the day's request total is easily supportable."}],"scenario_text":"An online ticketing company sees repeated login failures when seats for popular events become available. Promoters announce a precise opening time, and thousands of customers refresh the mobile app during the preceding minute. At release, authentication traffic jumps from about 600 requests per second to more than 11,000, exceeding the identity service's reliable limit of 7,500. Connection pools fill, response times climb past the app's timeout, and automatic retries add another wave before the first one clears. Fifteen minutes later, traffic falls below 900 requests per second and remains modest for most of the day. The service handles only 38 million authentication requests over 24 hours, far fewer than it could complete if traffic arrived near its ordinary sustained rate. Database health, certificate validation, and network latency remain normal before and after each incident. The failures recur across different artists and venues, but almost always begin within seconds of a publicly advertised ticket-release timestamp.","scenario_title":"Login Failures at Ticket Release","vocabulary_separation_audit":"The software-service domain and vocabulary are substantially separated from the clinical direct case and do not use the archetype name or predicate language."},{"alternative_route_blocks":[],"case_id":"E14A036__NEAR_MISS","case_type":"ONE_LITERAL_NEAR_MISS","domain":"Online ticketing authentication infrastructure","intended_route_id":"B1","omitted_condition_id":"ext001_load_leveling_or_demand_smoothing_a01","remedy_leakage_audit":"The statement diagnoses no corrective measure and offers no recommendation about code, infrastructure, or operations.","route_evidence":[{"condition_id":"ext001_load_leveling_or_demand_smoothing_a01","intended_status":"CONTRADICTED","scenario_evidence":"Measurements explicitly show uniform request timing, no release-time surge, and throughput remaining below the reliable ceiling throughout the failures."}],"scenario_text":"An online ticketing company sees repeated login failures during ordinary sales periods. Promoters in this program do not publish a common opening timestamp; each customer's purchase window is randomly assigned across the day. Authentication records confirm that requests remain evenly distributed, ranging from 1,100 to 1,450 per second in every five-minute interval. There is no burst when customers receive their invitations, no seasonal concentration, and no interval exceeding the identity service's tested reliable limit of 7,500 requests per second. Even at the busiest observed moment, more than three quarters of measured throughput remains unused. Nevertheless, approximately 6% of login attempts return an invalid-session error, and affected customers often succeed immediately from a different device. The error rate persists overnight when traffic is lowest and does not change on days with fewer invitations. Connection-pool occupancy stays below 30%, response times remain under 180 milliseconds, and retries do not materially alter request volume. The incidents therefore occur under steady, comfortably sub-limit traffic rather than during any demand spike.","scenario_title":"Session Errors Under Steady Ticketing Traffic","vocabulary_separation_audit":"Retains the transfer domain's technical detail while explicitly negating the sole route condition, without naming an archetype or using an abstraction label."}],"experiment_id":"eoa_inverse_innovation_exp14_applicability_retrieval40_20260813","sample_id":"E14A036","schema_version":1}