{"id":"W4362714311","doi":"10.2196/38079","title":"Examining Pediatric Resident Electronic Health Records Use During Prerounding: Mixed Methods Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Electronic health record; Data collection; Medicine; Qualitative property; Duration (music); Health care; Task (project management); Medical education; Nursing; Psychology; Medical emergency; Computer science; Engineering","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":[0.008730487,0.0002979161,0.0007504767,0.001183952,0.0008492958,0.000870321,0.0008338451,0.0005111202,0.0009115587],"category_scores_gemma":[0.01514579,0.0006091413,0.0008442469,0.001509619,0.0005190992,0.001097577,0.00111258,0.0006856393,0.0001894497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361369,"about_ca_system_score_gemma":0.002074068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00529405,"about_ca_topic_score_gemma":0.01155387,"domain_scores_codex":[0.9955571,0.001968206,0.0007757418,0.0004779243,0.0008342097,0.0003868581],"domain_scores_gemma":[0.9870808,0.004051326,0.005712168,0.000796828,0.001529898,0.0008290206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001777353,0.0006001994,0.9832687,0.0002655608,0.0001267964,0.0002046761,0.00757658,0.0000423855,0.0003225379,0.00003460602,0.0002328004,0.00714743],"study_design_scores_gemma":[0.00003568533,0.002264252,0.977928,0.0002167004,0.0001042702,0.0005124105,0.01719455,0.0003328141,0.00039691,0.00002958302,0.0009613724,0.00002341375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989336,0.0001837709,0.0003060837,0.00003836967,0.000002990504,0.0001893505,0.0001968348,0.000004131364,0.0001448701],"genre_scores_gemma":[0.996157,0.0004486399,0.002206341,0.0001413078,0.00001004984,0.0006399535,0.0002745029,0.000004643947,0.0001175607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008730487,"threshold_uncertainty_score":0.04617178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2768325247797889,"score_gpt":0.5767066517233788,"score_spread":0.2998741269435898,"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."}}