{"id":"W2998039019","doi":"10.1136/oemed-2019-105995","title":"Prevalence of serious mental illness and mental health service use after a workplace injury: a longitudinal study of workers’ compensation claimants in Victoria, Australia","year":2020,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"Australian Research Council; Canadian Institutes of Health Research","keywords":"Mental health; Mental illness; Medicine; Odds; Population; Occupational safety and health; Odds ratio; Workers' compensation; Longitudinal study; Cohort study; Psychological intervention; Psychiatry; Compensation (psychology); Environmental health; Psychology; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003968413,0.0001871673,0.0003936939,0.0000832033,0.0002397917,0.000002818029,0.00006900294,0.00008309349,0.0004651563],"category_scores_gemma":[0.00002620794,0.0001633591,0.00001397477,0.0001982748,0.0001321257,0.000191812,0.0001301627,0.0002873726,0.000006115063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480069,"about_ca_system_score_gemma":0.00005308543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035285,"about_ca_topic_score_gemma":0.0007235119,"domain_scores_codex":[0.9978424,0.0003081005,0.0007974845,0.000340791,0.0004243878,0.0002868785],"domain_scores_gemma":[0.9990814,0.0001661671,0.0003632313,0.0001137879,0.00001428829,0.0002611394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002865219,0.0002218657,0.9638817,0.0008620267,0.0000191333,0.000002794096,0.03094887,0.000007520614,0.0002237668,0.00001245256,0.000436566,0.0005181102],"study_design_scores_gemma":[0.003283107,0.0009246673,0.9824983,0.0007672996,0.00002070834,0.000002456331,0.01190861,0.000213903,0.000007368937,0.0000143494,0.0002390981,0.0001200946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948695,0.0002624071,0.00001007748,0.002961277,0.0002104489,0.001499251,0.0001683349,0.000008721971,0.00000998314],"genre_scores_gemma":[0.9981521,0.0003131654,0.0001245056,0.001043269,0.00009100862,0.00007529531,0.0001169354,0.00001328005,0.00007040281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01904026,"threshold_uncertainty_score":0.6661591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000705777270546,"score_gpt":0.3678505439723122,"score_spread":0.3178434861996067,"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."}}