{"id":"W2755774896","doi":"10.2196/medinform.7883","title":"Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study","year":2017,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality","keywords":"Health records; Computer science; Electronic health record; Medical record; Medicine; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.004839882,0.0002434278,0.0007478656,0.0001124471,0.0006054289,0.00001670165,0.0006339198,0.0003887335,0.0003958769],"category_scores_gemma":[0.006204033,0.0001541613,0.000044802,0.0001381902,0.0002575573,0.0003032877,0.0001709672,0.001222051,0.000003612874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367678,"about_ca_system_score_gemma":0.003875353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009965763,"about_ca_topic_score_gemma":0.000704146,"domain_scores_codex":[0.9928764,0.001581864,0.002433092,0.000202078,0.002170311,0.0007362457],"domain_scores_gemma":[0.9932364,0.003078303,0.001751399,0.001072863,0.0002100614,0.0006509299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001702801,0.00335869,0.06306738,0.007455403,0.0003786739,0.000003218069,0.1548522,0.0223319,0.0001785452,0.0005306326,0.008534788,0.7376057],"study_design_scores_gemma":[0.004119618,0.008514024,0.007909441,0.001666281,0.00004620556,0.000001462031,0.00401214,0.965961,0.0008149797,0.00007951877,0.006584451,0.0002908958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838052,0.00008451807,0.006474964,0.003905454,0.0002258244,0.005367775,0.00009748832,0.00002151103,0.00001720944],"genre_scores_gemma":[0.9967418,0.00004378989,0.0003183039,0.002527414,0.0001167908,0.000143043,0.00006804761,0.0000244623,0.00001636255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9436291,"threshold_uncertainty_score":0.7427255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08774890458171256,"score_gpt":0.4653253569154167,"score_spread":0.3775764523337042,"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."}}