{"id":"W2588463976","doi":"","title":"ELECTRONIC MEDICAL RECORD: Developing an Optimal Interface for Optimal Care","year":2016,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic medical record; Medical record; Interface (matter); Medicine; Business; Computer science; Medical emergency; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01875892,0.0009120864,0.001182686,0.002707881,0.001140145,0.009560695,0.002586771,0.003656728,0.01864461],"category_scores_gemma":[0.07093737,0.0008657942,0.0007738656,0.00223759,0.00104159,0.01608158,0.005572849,0.002855211,0.02383766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017814,"about_ca_system_score_gemma":0.003837916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009874951,"about_ca_topic_score_gemma":0.0008069048,"domain_scores_codex":[0.9851524,0.007227493,0.001819917,0.0008651326,0.004542294,0.0003926908],"domain_scores_gemma":[0.9770338,0.009583824,0.001158119,0.002722486,0.007730506,0.001771283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001615468,0.0001540811,0.003079927,0.001150932,0.00006581003,0.0002038391,0.0009230226,0.0005690437,0.003055306,0.02888337,0.1860077,0.7757454],"study_design_scores_gemma":[0.0001495834,0.0003356396,0.004933534,0.00434979,0.0001538246,0.002226824,0.00230983,0.01032603,0.006484051,0.05956449,0.9089479,0.0002185026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008542184,0.009797465,0.8399107,0.07129873,0.003140166,0.001735914,0.002013461,0.02024256,0.04331879],"genre_scores_gemma":[0.02822807,0.007300277,0.9442407,0.006310734,0.001784322,0.0006630049,0.001542791,0.001638698,0.008291438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01875892,"threshold_uncertainty_score":0.09920776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06006789446093792,"score_gpt":0.4755974170615824,"score_spread":0.4155295226006445,"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."}}