{"id":"W2495710012","doi":"10.5271/sjweh.3583","title":"The relationship between chronic conditions and absenteeism and associated costs in Canada","year":2016,"lang":"en","type":"article","venue":"Scandinavian Journal of Work Environment & Health","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Institute for Work & Health; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Absenteeism; Presenteeism; Medicine; Confounding; Demography; Productivity; Population; Mood; Gerontology; Environmental health; Psychology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006913866,0.0002356484,0.0003921391,0.001639971,0.002346502,0.001434073,0.001238953,0.0003857204,0.002951781],"category_scores_gemma":[0.004695777,0.0002662887,0.0006231287,0.002975184,0.0004939474,0.0003864957,0.001059967,0.001025614,0.0001374587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0227636,"about_ca_system_score_gemma":0.03475223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926928,"about_ca_topic_score_gemma":0.9950898,"domain_scores_codex":[0.9984931,0.00009078039,0.00007915741,0.0001361368,0.0007026411,0.0004981713],"domain_scores_gemma":[0.9957362,0.0002497109,0.0009713883,0.000067366,0.001810628,0.00116462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005172332,0.00002521166,0.9921294,0.00006667399,0.00007234101,0.0000653617,0.0001725377,0.000138208,0.00004787231,0.00009062381,0.001207361,0.005932623],"study_design_scores_gemma":[0.000002816963,0.000007389476,0.9990857,0.00003328699,0.00001403915,0.00003269348,0.0001933242,0.0001251238,0.00001003325,0.00001796668,0.0004728293,0.000004839264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980873,0.003570079,0.0001936497,0.001748496,0.00006377672,0.00004492498,0.008105741,0.00001504617,0.005385263],"genre_scores_gemma":[0.9964153,0.001110152,0.0001523315,0.0001046157,0.00001708203,0.000009017536,0.00143413,0.000003417879,0.0007539393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227636,"threshold_uncertainty_score":0.1651623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541616941718328,"score_gpt":0.3221518372955681,"score_spread":0.2967356678783848,"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."}}