{"id":"W2100218018","doi":"10.3899/jrheum.130815","title":"Worker Productivity Outcome Measures: OMERACT Filter Evidence and Agenda for Future Research","year":2013,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthritis Research Centre of Canada; Institute for Work & Health; University Health Network; University of British Columbia; Institute of Health Services and Policy Research","funders":"Canadian Institutes of Health Research; University of Toronto; Arthritis Society; Canadian Arthritis Network; Pfizer","keywords":"Presenteeism; Productivity; Medicine; Interpretability; Conceptualization; Work (physics); Applied psychology; Psychology; Computer science; Engineering; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01204461,0.0001362006,0.0004949279,0.0001817888,0.001265606,0.00001626185,0.0003489575,0.0002214787,0.0002647846],"category_scores_gemma":[0.004258356,0.00007590793,0.00006649925,0.0002239061,0.0001845207,0.000348769,0.000122304,0.002005393,0.0001344216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009127422,"about_ca_system_score_gemma":0.0004501031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004904096,"about_ca_topic_score_gemma":0.000197718,"domain_scores_codex":[0.994583,0.003197217,0.0009034851,0.000163101,0.000366871,0.000786325],"domain_scores_gemma":[0.9899589,0.007945136,0.0005875796,0.0003390027,0.0009610053,0.0002083736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006764132,0.00003927672,0.8485128,0.0005736901,0.00005062905,0.000002026033,0.008489245,0.000003532653,0.0000921035,0.0005272345,0.1291692,0.01186377],"study_design_scores_gemma":[0.003609804,0.001130877,0.6323549,0.004648733,0.000133355,0.002149143,0.02797841,0.0002423535,0.00006997742,0.02053695,0.3066396,0.0005058676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118511,0.004772317,0.0005026289,0.07964143,0.001831489,0.001218418,0.000001290364,0.00001277011,0.0001685305],"genre_scores_gemma":[0.993219,0.003524302,0.0008243096,0.001033859,0.0002924564,0.00007712601,3.749423e-7,0.00002369397,0.001004833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.216158,"threshold_uncertainty_score":0.973415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995160583960253,"score_gpt":0.4798617771032018,"score_spread":0.2803457187071765,"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."}}