{"id":"W2107872712","doi":"10.1136/oemed-2011-100222","title":"Comparison of data sources for the surveillance of work injury","year":2012,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; University of British Columbia; Institute for Work & Health","funders":"","keywords":"Emergency department; Medicine; Incidence (geometry); Occupational safety and health; Medical emergency; Workers' compensation; Injury prevention; Population; Poison control; Work (physics); Suicide prevention; Demography; Emergency medicine; Environmental health; Compensation (psychology); Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178706,0.00006537836,0.0002023295,0.00003140867,0.000279388,3.921681e-7,0.0001606699,0.00005048312,0.0004493991],"category_scores_gemma":[0.0002176791,0.00003843613,0.0000137218,0.00007208507,0.000305752,0.00008294559,0.0001325649,0.0001339975,0.000007339952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122178,"about_ca_system_score_gemma":0.00004655449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008430718,"about_ca_topic_score_gemma":0.00001163705,"domain_scores_codex":[0.9988147,0.000111302,0.0004255171,0.0001060901,0.0003329192,0.0002094567],"domain_scores_gemma":[0.9963663,0.003084021,0.0001986557,0.0002365988,0.00001845897,0.00009594754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006399376,0.00007034433,0.9773961,0.0001347671,0.00001405514,7.557966e-9,0.0005882401,0.000002758134,0.0001698862,0.0003878998,0.003976399,0.01661957],"study_design_scores_gemma":[0.0004473235,0.0001238709,0.977738,0.00005669503,0.00001042122,1.45157e-7,0.001132648,0.0002897508,0.00002640377,0.00005373397,0.02008698,0.00003404498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883295,0.005393666,0.001054882,0.002716986,0.0003270263,0.0008492331,0.000972606,0.000004947561,0.0003511862],"genre_scores_gemma":[0.9977483,0.0002962017,0.0004237598,0.0001720348,0.0004263596,0.00005455018,0.0007324431,0.000005821156,0.00014054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658552,"threshold_uncertainty_score":0.4920605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396769553244086,"score_gpt":0.5279347436254598,"score_spread":0.2882577883010512,"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."}}