{"id":"W1677539104","doi":"10.3233/wor-2010-0963","title":"When healthcare workers get sick: Exploring sickness absenteeism in British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"Work","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Absenteeism; Sick leave; Poisson regression; Payroll; Health care; Wage; Work (physics); Medicine; Psychological intervention; Environmental health; Occupational safety and health; Demography; Business; Psychology; Nursing; Population; Labour economics; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009788838,0.0001845228,0.000458591,0.00006586088,0.001263068,0.0000679708,0.0003369857,0.0003268436,0.001441896],"category_scores_gemma":[0.0002311651,0.0003011632,0.00005346064,0.0005680175,0.00005823654,0.0001769353,0.0001443005,0.002817148,0.0001263965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608247,"about_ca_system_score_gemma":0.003121929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884874,"about_ca_topic_score_gemma":0.9996474,"domain_scores_codex":[0.9962182,0.0003912821,0.0008375259,0.0005170337,0.0004240598,0.001611883],"domain_scores_gemma":[0.9977953,0.0006650644,0.0002248589,0.0005277061,0.00012039,0.0006666792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002304502,0.00002142625,0.8792709,0.0002422791,0.000005586671,0.0001156011,0.001827257,0.000007948611,0.000002529496,0.00005248508,0.1021416,0.0162894],"study_design_scores_gemma":[0.0009250366,0.00001651661,0.7358952,0.00186348,0.00000613071,0.000005919887,0.006762607,0.00001081082,0.00000122872,0.0006921084,0.2534625,0.0003584382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770645,0.0003503379,0.00001127672,0.009221213,0.008048132,0.001036458,0.00001746433,0.0001519513,0.004098676],"genre_scores_gemma":[0.9820585,0.00007370864,0.0005327418,0.005745621,0.001284257,0.0005274505,0.00003631316,0.00007837451,0.009663085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1513209,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839916415774469,"score_gpt":0.3043369451602183,"score_spread":0.2759377810024736,"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."}}