{"id":"W2275315722","doi":"10.2196/humanfactors.4601","title":"How Does Learnability of Primary Care Resident Physicians Increase After Seven Months of Using an Electronic Health Record? A Longitudinal Study","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Learnability; Specialty; Electronic health record; Usability; Health records; Primary care; Medicine; Medical record; Learning curve; Family medicine; Medical education; Psychology; Health care; Computer science; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.001591479,0.0004067532,0.001297353,0.0003023211,0.0005898774,0.00001333054,0.0004242203,0.000236899,0.0001262015],"category_scores_gemma":[0.0001166946,0.0002630949,0.0001926232,0.0003186848,0.000148744,0.0004588732,0.0001779479,0.0008088243,0.000004113034],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0049863,"about_ca_system_score_gemma":0.003281648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03359247,"about_ca_topic_score_gemma":0.08992872,"domain_scores_codex":[0.9920086,0.003473414,0.001482768,0.0007810157,0.0007396208,0.001514561],"domain_scores_gemma":[0.9959541,0.0004304153,0.001544718,0.001212856,0.0005137214,0.0003441873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002971504,0.0006326325,0.963694,0.002460499,0.0000721683,0.000003299501,0.02919571,5.980032e-7,0.001468023,0.00003975982,0.00006643531,0.00206969],"study_design_scores_gemma":[0.001477573,0.002624805,0.9681914,0.001116962,0.00003953399,5.877642e-7,0.02547084,0.000001640013,0.0001515061,0.0001905886,0.0004410854,0.0002934605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937671,0.0003251659,0.00005597968,0.0002453873,0.0002774729,0.005023421,0.0001340787,0.000102492,0.00006883687],"genre_scores_gemma":[0.9984948,0.00002275639,0.00002989485,0.00006174542,0.0002921433,0.000433354,0.00002412294,0.00008547929,0.0005556939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05633625,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06398580352528346,"score_gpt":0.4130746825563303,"score_spread":0.3490888790310468,"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."}}