{"id":"W1509418783","doi":"","title":"Decision Making by Emergency Room Physicians and Residents: Results From a Clinical Trial","year":2006,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; California HIV/AIDS Research Program","keywords":"Triage; Clinical decision support system; Clinical decision making; Medical decision making; Emergency department; Decision support system; Medical emergency; Computer science; R-CAST; Medicine; Business decision mapping; Family medicine; Artificial intelligence; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.03692946,0.001296367,0.003241492,0.0003939145,0.0009625647,0.001617653,0.0009774617,0.003193788,0.007394581],"category_scores_gemma":[0.0982426,0.0005805179,0.002911427,0.0008078514,0.001730272,0.002682031,0.001090318,0.004485752,0.00140217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040836,"about_ca_system_score_gemma":0.002345366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009930165,"about_ca_topic_score_gemma":0.001063532,"domain_scores_codex":[0.972007,0.02346664,0.001565268,0.001068811,0.001188599,0.000703563],"domain_scores_gemma":[0.8511223,0.1248828,0.007246823,0.00663266,0.005500674,0.004614766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8796392,0.05339656,0.01554059,0.001731028,0.005472069,0.00018072,0.001120518,0.002224181,0.0004698863,0.0004627808,0.002812549,0.03694988],"study_design_scores_gemma":[0.5088097,0.4413452,0.02791668,0.0004874384,0.006873049,0.0002555194,0.001290439,0.006243604,0.0009477646,0.001759499,0.003885192,0.0001857419],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915779,0.002215116,0.0008068426,0.001029271,0.0002798358,0.001731719,0.0005181195,0.0000230375,0.00181827],"genre_scores_gemma":[0.9897538,0.001341897,0.001981377,0.0009456751,0.0003373904,0.003369115,0.0009468966,0.00001950205,0.001304317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03692946,"threshold_uncertainty_score":0.195304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05260973803203441,"score_gpt":0.4455418204661233,"score_spread":0.3929320824340889,"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."}}