{"id":"W2905617446","doi":"10.1016/j.jval.2018.09.311","title":"PCN229 - COMPARISON OF SICKNESS BENEFIT AND SICK LEAVE DURATION IN ONCOLOGY ACROSS COUNTRIES","year":2018,"lang":"en","type":"article","venue":"Value in Health","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sick leave; Absenteeism; Duration (music); Productivity; Medicine; Presenteeism; Workforce; Indirect costs; Economic impact analysis; Family medicine; Demographic economics; Business; Economic growth; Psychology; Economics; Physical therapy; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007930281,0.0006167726,0.002130846,0.006172662,0.0003984286,0.002155371,0.001023469,0.0008147067,0.009603795],"category_scores_gemma":[0.02675293,0.0003043335,0.007282763,0.008201935,0.0004242929,0.001568299,0.002052744,0.001274878,0.0008717959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521604,"about_ca_system_score_gemma":0.001903985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02202166,"about_ca_topic_score_gemma":0.01557697,"domain_scores_codex":[0.9900711,0.005507194,0.001586722,0.0006775928,0.001568191,0.000589187],"domain_scores_gemma":[0.982367,0.01027321,0.003768598,0.0004400793,0.002304201,0.0008468737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07833926,0.0014856,0.6225159,0.04122098,0.07699355,0.0004613768,0.001627967,0.01818276,0.0004578027,0.004531659,0.0384246,0.1157586],"study_design_scores_gemma":[0.005346757,0.006536001,0.9473222,0.004454091,0.007694131,0.000351643,0.00232521,0.002899698,0.0002709591,0.0008931453,0.0217456,0.0001605951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804964,0.03612866,0.001660983,0.0008658655,0.0007781992,0.001510227,0.1347765,0.0001094647,0.019206],"genre_scores_gemma":[0.9526151,0.003422721,0.0006655257,0.0002550869,0.0001116144,0.001477574,0.03950406,0.00005039153,0.001897934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02202166,"threshold_uncertainty_score":0.04378694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015643137826087,"score_gpt":0.4648846789456972,"score_spread":0.4147282475674364,"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."}}