{"id":"W2979279340","doi":"10.2196/13779","title":"Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workload; Medicine; Primary care; Family medicine; Electronic health record; Health records; Cohort; Health information technology; Health care; Retrospective cohort study; Emergency medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001499043,0.0008937568,0.002008604,0.0004319386,0.001452276,0.0000551087,0.0005912038,0.000528397,0.0006970268],"category_scores_gemma":[0.00006752658,0.0007084929,0.0002465355,0.000934493,0.0001200588,0.0005058739,0.0001634753,0.00352171,0.0001619647],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01834816,"about_ca_system_score_gemma":0.002531641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006111696,"about_ca_topic_score_gemma":0.06494608,"domain_scores_codex":[0.9896468,0.002684475,0.001432953,0.00146096,0.001434028,0.003340783],"domain_scores_gemma":[0.9954984,0.0005056014,0.001683858,0.001308569,0.000514966,0.0004886228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006071065,0.0004335846,0.9600692,0.0003737534,0.0003521083,0.000003801294,0.03776444,9.763988e-7,0.00001766222,0.00002269343,0.0007880079,0.0001130523],"study_design_scores_gemma":[0.001891531,0.004286863,0.9662542,0.001038642,0.00006194169,1.129669e-7,0.02515341,0.00000194118,0.000005102777,0.00001738373,0.0005997783,0.0006891369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784768,0.0001724948,0.000006572637,0.00004030156,0.0009155374,0.01600407,0.0001544612,0.000679082,0.00355074],"genre_scores_gemma":[0.991987,0.0000113736,0.000001641726,0.0004245271,0.0003061701,0.001915102,0.0005868786,0.0002814695,0.004485828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05883439,"threshold_uncertainty_score":0.9998477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183586162909855,"score_gpt":0.3656398239494547,"score_spread":0.3338039623203561,"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."}}