{"id":"W2160554770","doi":"10.1136/oem.2010.062562","title":"Examining the decline in lost-time claim rates across age groups in Ontario between 1991 and 2007","year":2011,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Colleges and Universities; Public Health Ontario; University of Toronto; Institute for Work & Health","funders":"Canadian Institutes of Health Research","keywords":"Demography; Jurisdiction; Psychological intervention; Multivariate analysis; Demographic economics; Young adult; Occupational safety and health; Convergence (economics); Compensation (psychology); Work (physics); Gerontology; Medicine; Geography; Psychology; Political science; Economics; Sociology; Social psychology; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001469226,0.0001452588,0.000262656,0.0000844095,0.0003642759,0.000003000685,0.0001029158,0.0001296593,0.002598404],"category_scores_gemma":[0.0001028289,0.00009645473,0.00001125888,0.0001001756,0.0003810234,0.0001175561,0.0001987678,0.0006644832,0.0001265972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327543,"about_ca_system_score_gemma":0.00007039277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04190158,"about_ca_topic_score_gemma":0.07337584,"domain_scores_codex":[0.9981486,0.0002371704,0.0005443596,0.000271869,0.0003515909,0.0004464685],"domain_scores_gemma":[0.9985574,0.001020567,0.00009573144,0.0001298216,0.000007973255,0.0001884898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003792954,0.00004810327,0.9881904,0.00003127337,0.000004621788,0.00001442088,0.006101273,7.537606e-7,0.00004483272,0.00006369653,0.0001992987,0.004922083],"study_design_scores_gemma":[0.001807297,0.0002357227,0.9918327,0.0001437392,0.000005095194,0.000002718554,0.001970612,0.00007337964,0.000001578072,0.0007000736,0.003135395,0.00009165426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947534,0.0003156207,0.00000844735,0.001058203,0.0000936936,0.0005894482,0.00006009672,0.000005662118,0.003115481],"genre_scores_gemma":[0.9958229,0.0001957085,0.0001393063,0.001475471,0.0002246555,0.00007813294,0.0005729995,0.0000112976,0.001479493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03147426,"threshold_uncertainty_score":0.9983134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1557370945892651,"score_gpt":0.4149638652849094,"score_spread":0.2592267706956443,"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."}}