{"id":"W4379511990","doi":"10.1136/annrheumdis-2023-eular.5552","title":"POS0032 TARGETS THAT WORK: IDENTIFYING MODIFIABLE PREDICTORS OF PRESENTEEISM OVER ONE YEAR IN WORKERS WITH INFLAMMATORY ARTHRITIS","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Advancing Health Outcomes; Institute for Work & Health; Simon Fraser University; Research Canada; Public Health Ontario; University of British Columbia","funders":"Arthritis Society; Alberta Health Services","keywords":"Presenteeism; Medicine; Absenteeism; Physical therapy; Marital status; Gerontology; Psychology; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004252284,0.0004074909,0.0003699016,0.0005658198,0.0006234302,0.0007777739,0.0004067322,0.0007295496,0.00248874],"category_scores_gemma":[0.00161152,0.0002425222,0.0006750951,0.0008986147,0.0001850166,0.0003854853,0.0007373822,0.00104224,0.0005067634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146725,"about_ca_system_score_gemma":0.000593183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070636,"about_ca_topic_score_gemma":0.01968042,"domain_scores_codex":[0.9996196,0.00008276095,0.00003397814,0.00005230665,0.00009122825,0.0001200124],"domain_scores_gemma":[0.998942,0.0001611638,0.000423476,0.00003573179,0.0001110284,0.0003267498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000200702,0.0001488694,0.9969888,0.00001477348,0.00004424439,0.00004629782,0.00005384087,0.00002835538,0.0002318946,0.000007771811,0.0001689511,0.002065427],"study_design_scores_gemma":[0.000006656169,0.000115257,0.9992787,0.000008159091,0.00003091835,0.00004911086,0.0001842059,0.0001213564,0.00003480656,0.00001691888,0.0001507699,0.000003099953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980715,0.0003282555,0.00006901706,0.0001246898,0.00002620454,0.00001067366,0.0005856714,0.00000428585,0.0007796782],"genre_scores_gemma":[0.9984307,0.0001567706,0.0001407344,0.00005101507,0.00002959077,0.00001434307,0.0004594364,0.000003414353,0.0007138436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070636,"threshold_uncertainty_score":0.0212881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06384677349950213,"score_gpt":0.3583980420979002,"score_spread":0.294551268598398,"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."}}