{"id":"W4388425446","doi":"10.1136/oemed-2023-108982","title":"Workers’ compensation claims for COVID-19 among workers in healthcare and other industries during 2020–2022, Victoria, Australia","year":2023,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"WorkSafe Victoria; Hamilton Health Sciences Foundation; State Government of Victoria","keywords":"Coronavirus disease 2019 (COVID-19); Health care; Pandemic; Medicine; Epidemiology; Public health; Workers' compensation; Compensation (psychology); Occupational safety and health; Environmental health; Demography; Economics; Psychology; Nursing; Internal medicine; Economic growth; Disease; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192898,0.0003417944,0.0002961202,0.001289724,0.0006865531,0.0009600254,0.0007868655,0.0004759407,0.0008773985],"category_scores_gemma":[0.004687979,0.0003815823,0.0005979152,0.00137076,0.0004275595,0.0006188382,0.001964344,0.0007320532,0.0002172499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003209576,"about_ca_system_score_gemma":0.002896364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2934375,"about_ca_topic_score_gemma":0.3193982,"domain_scores_codex":[0.998142,0.0002868458,0.0002483374,0.0002669938,0.0006071685,0.000448584],"domain_scores_gemma":[0.9964572,0.000237724,0.001889686,0.00008498149,0.0007369746,0.0005935084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007240343,0.00001953494,0.9938049,0.0001019199,0.00005830649,0.00010942,0.000741566,0.0002158012,0.0002705002,0.00003686344,0.0007663583,0.003802337],"study_design_scores_gemma":[0.000001645527,0.00002486721,0.998895,0.00005110737,0.000005537058,0.00005907812,0.000388901,0.0002481744,0.00001498996,0.00001131506,0.0002961372,0.000003352939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936625,0.001109522,0.0001930563,0.0002926977,0.00001797696,0.00006530743,0.003614801,0.000006175048,0.001038034],"genre_scores_gemma":[0.9964458,0.0003786767,0.000155215,0.00009861647,0.00001113962,0.00004550511,0.002240466,0.000002725047,0.0006218293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934375,"threshold_uncertainty_score":0.5834591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2392502572504402,"score_gpt":0.4228712754068302,"score_spread":0.18362101815639,"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."}}