{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257071,0.0002596269,0.0004224366,0.001151281,0.0007206176,0.0009524963,0.0004191004,0.0005820864,0.001351776],"category_scores_gemma":[0.004047018,0.000553305,0.0006508777,0.002160382,0.0003214893,0.0007460436,0.000566919,0.0006768561,0.0002536964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771465,"about_ca_system_score_gemma":0.0007226889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456658,"about_ca_topic_score_gemma":0.01828482,"domain_scores_codex":[0.9982709,0.000353308,0.0002072426,0.0004938248,0.0004103353,0.0002644545],"domain_scores_gemma":[0.994626,0.0009699689,0.002758554,0.0005178922,0.0005870461,0.0005405967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002415232,0.00002708488,0.9993023,0.000008737701,0.00003334581,0.00004959848,0.0001098637,0.000006206225,0.00005369076,0.000003921353,0.00006409919,0.0003170946],"study_design_scores_gemma":[0.000003000159,0.00007199578,0.9994272,0.000006605226,0.00001891656,0.0001325044,0.0002038366,0.00003571548,0.00001410876,0.000003676271,0.00008057848,0.000002008434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986934,0.0002610889,0.0001011779,0.00004293467,0.00000541093,0.00002720484,0.0006356816,0.000003595883,0.0002296936],"genre_scores_gemma":[0.999069,0.0001647645,0.00011235,0.00005540593,0.00001260396,0.0000280623,0.0004627595,0.00000248491,0.00009251551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456658,"threshold_uncertainty_score":0.02896357,"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."}}