{"id":"W2600993423","doi":"10.1097/pec.0000000000001095","title":"Medical Student Documentation in the Emergency Department in the Electronic Health Record Era—A National Survey","year":2017,"lang":"en","type":"article","venue":"Pediatric Emergency Care","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Documentation; Medicine; Emergency department; Family medicine; Medical record; Medical education; MEDLINE; Best practice; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003952183,0.00009179313,0.000203324,0.001471571,0.000362589,0.0007013117,0.0004228028,0.0003709748,0.001121456],"category_scores_gemma":[0.009709916,0.0002171743,0.0002718387,0.001722958,0.0002731221,0.001168667,0.001002469,0.0005915803,0.0004008493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006444357,"about_ca_system_score_gemma":0.0008403279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715645,"about_ca_topic_score_gemma":0.007190557,"domain_scores_codex":[0.9963552,0.001290503,0.0007177335,0.0002941216,0.001080605,0.0002618672],"domain_scores_gemma":[0.9862366,0.002574349,0.007331533,0.0004778356,0.002428368,0.0009512937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001428979,0.00005083035,0.9960428,0.00002551393,0.00001342881,0.00001887376,0.0005463642,0.00001792744,0.00006025688,0.0000115049,0.0002866154,0.00291153],"study_design_scores_gemma":[0.000002185398,0.00007564002,0.9971125,0.00002691686,0.000005428384,0.0001400008,0.001823672,0.00008085881,0.00007136017,0.000004843166,0.0006540289,0.000002713285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980033,0.0002265576,0.000106964,0.0002746212,0.000004762864,0.00001999211,0.0005488536,0.000006531505,0.0008084057],"genre_scores_gemma":[0.9986441,0.0002893585,0.0002138968,0.0001678907,0.000008894799,0.00002585136,0.0004546347,0.00000279468,0.0001924595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004715645,"threshold_uncertainty_score":0.02090144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764252131950259,"score_gpt":0.5021040919632517,"score_spread":0.4344615706437491,"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."}}