{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005313123,0.0003171385,0.0005802885,0.00129711,0.001267581,0.001459923,0.0008217652,0.00148008,0.0013645],"category_scores_gemma":[0.01862238,0.000425791,0.001066363,0.0009630733,0.0005476651,0.001590434,0.001127085,0.001653027,0.0007213692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008106071,"about_ca_system_score_gemma":0.0008513546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009006548,"about_ca_topic_score_gemma":0.007566051,"domain_scores_codex":[0.9976726,0.0005914281,0.0002192266,0.0005185839,0.0005897733,0.0004083464],"domain_scores_gemma":[0.9822511,0.003480162,0.006571822,0.001368385,0.003362856,0.002965701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002259054,0.0004867952,0.9941227,0.00002036702,0.00009003411,0.00007179719,0.001820462,0.00003743771,0.0001429635,0.00001262789,0.0002034608,0.002765575],"study_design_scores_gemma":[0.000005727476,0.0005629613,0.9982152,0.00001050992,0.00002074771,0.00005607425,0.0007513861,0.0001091475,0.00006445796,0.00001398625,0.0001807989,0.000009147499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990157,0.0001777756,0.00009968389,0.000113219,0.000007911124,0.00002585267,0.0002302863,0.000007246796,0.0003223622],"genre_scores_gemma":[0.9991509,0.00006509725,0.0001009144,0.00005320475,0.00001073442,0.00004372695,0.0003001441,0.000003893009,0.000271414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009006548,"threshold_uncertainty_score":0.02809882,"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."}}