{"id":"W2744939501","doi":"10.2196/medinform.7627","title":"Clinical Note Creation, Binning, and Artificial Intelligence","year":2017,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; Function (biology); Data science; Software; Artificial intelligence; Database","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":[0.005784506,0.000482255,0.0006147159,0.003406356,0.001413663,0.005490305,0.001979701,0.001155834,0.006322061],"category_scores_gemma":[0.01862799,0.0005061185,0.0004857535,0.004367295,0.003330305,0.004371303,0.002449273,0.001643241,0.001655666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430296,"about_ca_system_score_gemma":0.00238462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006026394,"about_ca_topic_score_gemma":0.004977887,"domain_scores_codex":[0.9962554,0.001632945,0.0004311227,0.0006440486,0.0008351748,0.0002013977],"domain_scores_gemma":[0.9829502,0.01139917,0.001368347,0.002348559,0.001381558,0.0005521893],"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":[0.0004880967,0.0003086124,0.009038307,0.00056657,0.00005898639,0.0004360646,0.0008968881,0.01385714,0.004931766,0.1672055,0.01627133,0.7859406],"study_design_scores_gemma":[0.0001581389,0.0002581728,0.01262407,0.0006824652,0.00009558271,0.002612316,0.001399853,0.1927429,0.01800166,0.6566724,0.114511,0.0002414545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04300465,0.007732906,0.8920568,0.01180429,0.001025159,0.000488335,0.0006143556,0.007589462,0.03568404],"genre_scores_gemma":[0.2815756,0.002822491,0.7010404,0.001844312,0.0005139275,0.0002120237,0.0009769197,0.0004261424,0.01058819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006322061,"threshold_uncertainty_score":0.03059179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513405335275942,"score_gpt":0.5670605840010884,"score_spread":0.4157200504734941,"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."}}