{"id":"W1807672739","doi":"10.1002/ajim.22414","title":"Gender differences in occupational injury incidence","year":2015,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"WorkSafe Victoria; Institute for Safety, Compensation and Recovery Research; Transport Accident Commission","keywords":"Medicine; Incidence (geometry); Occupational exposure; Occupational safety and health; Occupational medicine; Epidemiology; Environmental health; Physical therapy; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428938,0.0001189727,0.0005672274,0.0004920966,0.000123091,0.000002615502,0.0002913099,0.0001149223,0.0004305661],"category_scores_gemma":[0.008017157,0.00007933032,0.00003516804,0.0008900648,0.0003939151,0.0001676924,0.00005331846,0.001572933,0.00004423678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789467,"about_ca_system_score_gemma":0.004755112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563687,"about_ca_topic_score_gemma":0.00006382661,"domain_scores_codex":[0.9958404,0.001166315,0.00126333,0.0001306587,0.001176308,0.0004229382],"domain_scores_gemma":[0.9953213,0.002131194,0.0008850289,0.0001335357,0.0008767504,0.0006521351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002834636,0.00003930981,0.8977339,0.000005441609,0.00001192311,0.00002108092,0.001783007,0.000003949306,0.00001085598,0.0002201479,0.009996652,0.08733913],"study_design_scores_gemma":[0.007090094,0.005975364,0.9584006,0.001388466,0.00002098725,0.00003326618,0.02128827,0.000087917,0.000004606839,0.000896608,0.004633736,0.0001801039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877356,0.0001656923,0.000163869,0.007609764,0.001712366,0.0003206495,0.000009135922,0.000006925876,0.002275988],"genre_scores_gemma":[0.994913,0.00008415252,0.0002512048,0.001174053,0.003503253,0.00001592109,0.000005046189,0.000009016165,0.00004436388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08715903,"threshold_uncertainty_score":0.9597865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3887461793525464,"score_gpt":0.5296234478816348,"score_spread":0.1408772685290884,"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."}}