{"id":"W1990594112","doi":"10.1136/oemed-2014-102362.62","title":"0157 The use of epidemiologic data to evaluate the economic burden of occupational risks: modelling the cost of diseases attributable to job strain in France","year":2014,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Euros; Medicine; Attributable risk; Sick leave; Job strain; Environmental health; Demography; Indirect costs; Relative risk; Economic cost; Years of potential life lost; Total cost; Gerontology; Population; Physical therapy; Confidence interval; Internal medicine; Business; Life expectancy; Economics","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":[0.006726018,0.001200092,0.001522851,0.003690664,0.0004340324,0.002739055,0.00154676,0.002369145,0.005612173],"category_scores_gemma":[0.01197853,0.0009284238,0.005076624,0.00232418,0.0005006779,0.001023257,0.0009882776,0.001261601,0.0004227869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004386787,"about_ca_system_score_gemma":0.002816813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.129807,"about_ca_topic_score_gemma":0.06339189,"domain_scores_codex":[0.9976746,0.00182629,0.00009543347,0.0001545302,0.0001046551,0.0001445015],"domain_scores_gemma":[0.9921452,0.006544262,0.0005448997,0.0001921195,0.0004285764,0.0001448571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003520365,0.0001544499,0.03763615,0.0004094184,0.001694558,0.000263447,0.0001246663,0.9453653,0.0001296425,0.005299653,0.001607575,0.006963197],"study_design_scores_gemma":[0.0002999766,0.0002875991,0.01735555,0.000306216,0.0007416503,0.0001313411,0.0001703013,0.9708068,0.00009546652,0.005978375,0.003768646,0.00005815617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913043,0.01208217,0.05899718,0.00597288,0.0003539928,0.0006517724,0.01615024,0.0003914284,0.01409607],"genre_scores_gemma":[0.9676651,0.003196822,0.02050917,0.000349262,0.0000888646,0.0007029879,0.0039652,0.00005379419,0.003468878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129807,"threshold_uncertainty_score":0.2581029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2819088467017268,"score_gpt":0.4437914808304504,"score_spread":0.1618826341287236,"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."}}