{"id":"W2979466167","doi":"10.1136/annrheumdis-2019-eular.7005","title":"SAT0571 IDENTIFYING DETERMINANTS OF PRESENTEEISM IN WORKERS WITH INFLAMMATORY ARTHRITIS","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada; University of British Columbia","funders":"UCB Pharma; Celltrion; Celgene; Chugai Pharmaceutical; KineMed; Amgen; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company; Biogen","keywords":"Presenteeism; Medicine; Absenteeism; Physical therapy; Quality of life (healthcare); Marital status; Social support; Rheumatoid arthritis; Job control; Gerontology; Internal medicine; Work (physics); Environmental health; Psychology; Population","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":[0.0007834962,0.0003936206,0.0003323336,0.001148189,0.0009722331,0.001304041,0.0005482686,0.0007983381,0.004595286],"category_scores_gemma":[0.003580246,0.0002633734,0.0008354874,0.001353574,0.0002662425,0.000421477,0.0009366165,0.0009399654,0.0009513734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004242035,"about_ca_system_score_gemma":0.0009917185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574102,"about_ca_topic_score_gemma":0.02283806,"domain_scores_codex":[0.9989492,0.000303936,0.000124813,0.0000983459,0.0001974958,0.000326267],"domain_scores_gemma":[0.9975787,0.0005385441,0.0007336602,0.0001016922,0.0004533622,0.0005941084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008619578,0.00008251067,0.9980729,0.000007397574,0.00002562207,0.00003701211,0.00006262408,0.00003356037,0.0001918518,0.00001208511,0.0001603429,0.001227996],"study_design_scores_gemma":[0.000004343966,0.0001374926,0.9988875,0.000006375608,0.00001981906,0.00006918687,0.0003672827,0.0002078,0.00006901961,0.00001798281,0.0002096834,0.000003548113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980592,0.00008771384,0.00007840747,0.00009338408,0.00002102496,0.000007372808,0.0007508551,0.000004422653,0.0008975707],"genre_scores_gemma":[0.9985751,0.00003475933,0.00009332504,0.00002961075,0.00001855373,0.000007793938,0.0005164992,0.000002952715,0.0007213901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574102,"threshold_uncertainty_score":0.03129882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073676740407948,"score_gpt":0.3817470387072666,"score_spread":0.3410102713031871,"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."}}