{"id":"W4378745471","doi":"10.1002/ajim.23505","title":"Acute myocardial infarctions identified in the Manitoba Occupational Disease Surveillance System: A linkage of worker's compensation and provincial health data","year":2023,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Foundation; World Wildlife Fund Canada; Spinal Cord Injury BC; University of Calgary; BC Cancer Agency; University of Manitoba; BC Centre for Disease Control; University of British Columbia; Manitoba Health","funders":"Workers Compensation Board of Manitoba","keywords":"Medicine; Hazard ratio; Myocardial infarction; Confidence interval; Record linkage; Cohort; Demography; Workers' compensation; Health care; Disease; Occupational safety and health; Epidemiology; Compensation (psychology); Family medicine; Medical emergency; Emergency medicine; Environmental health; Internal medicine; Population; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002743152,0.000232105,0.0004238874,0.002554356,0.0009269158,0.001063634,0.0008832327,0.0002143988,0.001178328],"category_scores_gemma":[0.008120767,0.0004098291,0.0002991283,0.007387197,0.0002761942,0.0002566091,0.00132614,0.0003639847,0.0002573188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004968036,"about_ca_system_score_gemma":0.01022217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7859649,"about_ca_topic_score_gemma":0.8124819,"domain_scores_codex":[0.9975989,0.0006416908,0.0002115097,0.0003553722,0.0008401622,0.000352224],"domain_scores_gemma":[0.9946706,0.0005948847,0.002252325,0.0004559269,0.001596074,0.0004302342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003489006,0.00001230767,0.9969578,0.00003551475,0.00004737213,0.00002160755,0.000211764,0.00005110087,0.0001491235,0.00002848285,0.0005130351,0.001936983],"study_design_scores_gemma":[0.000009092238,0.00001342577,0.9984838,0.00003275555,0.00002814339,0.00002577106,0.0002536819,0.0002659679,0.00005036089,0.00001722439,0.0008167994,0.000003013426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97661,0.0007657399,0.000933429,0.0003203399,0.00001917305,0.0003189173,0.01845781,0.00003653217,0.00253813],"genre_scores_gemma":[0.9817139,0.0005278431,0.001880247,0.0001605243,0.00001648283,0.0002484389,0.01466448,0.000006856025,0.0007812403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2140351,"threshold_uncertainty_score":0.4305912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047803654135655,"score_gpt":0.4148894949860341,"score_spread":0.3101091295724686,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}