{"id":"W2067963777","doi":"10.1016/j.gaceta.2014.12.004","title":"Assessment of the magnitude of geographical variations in the duration of non-work-related sickness absence by individual and contextual factors","year":2015,"lang":"en","type":"article","venue":"Gaceta Sanitaria","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health; Canadian Institutes of Health Research","keywords":"Demography; Quartile; Multilevel model; Explained variation; Covariate; Proportional hazards model; Duration (music); Regional variation; Hazard ratio; Geography; Statistics; Medicine; Mathematics; Confidence interval","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":[0.00255308,0.0002242692,0.0004120073,0.0009518053,0.0001895793,0.0005862145,0.0005379428,0.0002351493,0.001145261],"category_scores_gemma":[0.004828251,0.0001459481,0.0006482787,0.001254881,0.0002806671,0.0002471238,0.0009600473,0.0002691682,0.0001179964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006077107,"about_ca_system_score_gemma":0.0004607767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03654877,"about_ca_topic_score_gemma":0.04353712,"domain_scores_codex":[0.9985358,0.0005218254,0.0001790027,0.0003864059,0.0002006449,0.0001763035],"domain_scores_gemma":[0.995517,0.001363457,0.001863814,0.0004775494,0.0005057356,0.0002725252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001277022,0.00001122568,0.9933201,0.00009160191,0.0003898658,0.00006171935,0.0003211185,0.001051769,0.0002548009,0.00005632042,0.0002302935,0.004083423],"study_design_scores_gemma":[8.252745e-7,0.000009334501,0.9995191,0.000006626946,0.00001234123,0.00001191479,0.0001188043,0.000174203,0.000007288779,0.00001186162,0.0001257801,0.000001824126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99555,0.0008970251,0.0006936391,0.00007952459,0.00001433672,0.00001662804,0.00210009,0.000008450745,0.0006402367],"genre_scores_gemma":[0.9983507,0.00009336407,0.0002109626,0.00001367271,0.000007295411,0.00001680996,0.001171223,0.000003029352,0.0001329705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03654877,"threshold_uncertainty_score":0.07267207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122364019600991,"score_gpt":0.3552693865045714,"score_spread":0.3240457463085615,"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."}}