{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104212,0.0001935602,0.000272228,0.001554271,0.000209976,0.0004868372,0.0003260523,0.0002345367,0.004997203],"category_scores_gemma":[0.003392649,0.000148404,0.0003626319,0.000851954,0.0002139059,0.0004094845,0.0005895604,0.0001850771,0.0005936238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080537,"about_ca_system_score_gemma":0.0002041582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005433322,"about_ca_topic_score_gemma":0.006350167,"domain_scores_codex":[0.9992917,0.000105029,0.00008449407,0.0001795186,0.0001831689,0.0001561184],"domain_scores_gemma":[0.9987042,0.0002084199,0.0006673483,0.00007717497,0.0002217208,0.0001212308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000127484,0.00001949633,0.9897961,0.00003738992,0.00005637342,0.000108514,0.0003947965,0.00005798701,0.000541132,0.0001446916,0.0003519113,0.008364221],"study_design_scores_gemma":[0.000001327939,0.00003932101,0.9984702,0.00002340143,0.0000103347,0.0003367225,0.0002655415,0.00009583631,0.00008836266,0.00008016286,0.0005856613,0.000003131408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923167,0.001620808,0.0004154787,0.0001763188,0.00002614739,0.00001579834,0.001850436,0.00001502942,0.003563257],"genre_scores_gemma":[0.9980261,0.0003665111,0.0001092037,0.00003368943,0.00001257339,0.000006293626,0.0007125271,0.000005176108,0.0007278558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005433322,"threshold_uncertainty_score":0.01671726,"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."}}