{"id":"W4220852887","doi":"10.2196/34954","title":"Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yale New Haven Hospital; Yale University","keywords":"Medicine; Documentation; Retrospective cohort study; Cluster (spacecraft); Family medicine; Cohort; Health records; Primary care; Electronic health record; Psychological intervention; Health information exchange; Medical emergency; Health care; Computer science; Nursing; Health information; 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":[0.002553524,0.000305614,0.0003357545,0.001382845,0.0009973933,0.0009205947,0.0005476327,0.0006513232,0.001342081],"category_scores_gemma":[0.007250404,0.0004628347,0.0007493211,0.001590601,0.0004283618,0.0006080212,0.0008198794,0.0007746473,0.0002650971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005348912,"about_ca_system_score_gemma":0.0007163453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272687,"about_ca_topic_score_gemma":0.01222619,"domain_scores_codex":[0.9976291,0.0006190925,0.0002179922,0.0008038539,0.000459938,0.0002701331],"domain_scores_gemma":[0.9946814,0.001100989,0.001855654,0.001157596,0.0007605078,0.0004437008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007672951,0.00002974296,0.9988719,0.000004415356,0.00005508513,0.00003061134,0.0001477124,0.00002960226,0.0001406585,0.00002069995,0.0001056648,0.000487186],"study_design_scores_gemma":[0.000009036799,0.0001025018,0.9985695,0.00000458547,0.00003344119,0.0001543346,0.0003761505,0.0005152333,0.00008027894,0.00003551251,0.00011287,0.000006623669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987649,0.00005242691,0.0004855746,0.00002519555,0.000004486781,0.00003540217,0.0004869157,0.00000624721,0.0001388704],"genre_scores_gemma":[0.9991671,0.00002380982,0.0003554313,0.00001644192,0.000003645137,0.00002862039,0.0003218538,0.000003990109,0.00007908652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272687,"threshold_uncertainty_score":0.02530557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956467325048662,"score_gpt":0.4026585908701905,"score_spread":0.3730939176197038,"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."}}