{"id":"W3093393908","doi":"10.2196/20265","title":"Clinical Decision Support May Link Multiple Domains to Improve Patient Care: Viewpoint","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Workflow; Computer science; Multidisciplinary approach; Clinical decision support system; Decision support system; Context (archaeology); Population; Health care; Process management; Data science; Risk analysis (engineering); Knowledge management; Data mining; Medicine; Database; 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":[0.02176178,0.0008580127,0.0007675589,0.00390448,0.001991065,0.01820769,0.002616358,0.005150216,0.005393864],"category_scores_gemma":[0.04428925,0.0006931089,0.001185117,0.002732893,0.007386343,0.01435843,0.006728861,0.007755434,0.002448346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004976401,"about_ca_system_score_gemma":0.008688848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005091048,"about_ca_topic_score_gemma":0.005886248,"domain_scores_codex":[0.9860132,0.008893329,0.0008379025,0.001012777,0.002656426,0.0005862883],"domain_scores_gemma":[0.9588134,0.02994972,0.001530506,0.002289161,0.005360195,0.002057005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002397662,0.0004232978,0.01732709,0.001958675,0.0002284815,0.001238058,0.00721215,0.004413644,0.001470819,0.5014537,0.06369384,0.4003406],"study_design_scores_gemma":[0.0001830456,0.0003574642,0.005439794,0.0042339,0.0002488959,0.003147463,0.01072088,0.01646494,0.002621761,0.4922356,0.4641726,0.000173605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02927,0.07188961,0.1521644,0.6148729,0.003113343,0.0003218231,0.0005034682,0.0007427694,0.1271217],"genre_scores_gemma":[0.5153674,0.06299805,0.3148247,0.08352988,0.009733764,0.0003363698,0.0003547339,0.0002838877,0.01257124],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02176178,"threshold_uncertainty_score":0.1150886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670097331205533,"score_gpt":0.4668036899015721,"score_spread":0.4101027165895167,"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."}}