{"id":"W2008047520","doi":"10.4018/jhisi.2009040102","title":"Decision Making by Emergency Room Physicians and Residents","year":2009,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario; Carleton University","funders":"","keywords":"Clinical decision support system; Specialty; Tacit knowledge; Knowledge management; Clinical decision making; Computer science; Decision support system; Psychology; Medicine; Artificial intelligence; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082832,0.0003815197,0.0004792429,0.0006014351,0.001370724,0.002155398,0.0005808577,0.001212825,0.007806221],"category_scores_gemma":[0.08189132,0.0003693023,0.0005169464,0.0004391152,0.0008602237,0.001561123,0.00184037,0.00130108,0.001479857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509171,"about_ca_system_score_gemma":0.003512897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046363,"about_ca_topic_score_gemma":0.003456699,"domain_scores_codex":[0.9870816,0.009720163,0.0006676908,0.000912576,0.000891989,0.0007260455],"domain_scores_gemma":[0.959651,0.02801183,0.003676556,0.001911655,0.003081925,0.003667031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007046701,0.00510616,0.4453686,0.0008005344,0.0003867176,0.002455546,0.03918499,0.009693786,0.00225821,0.006620003,0.0254733,0.4556054],"study_design_scores_gemma":[0.003349347,0.01368572,0.5475038,0.002158618,0.0003749688,0.007959039,0.1642535,0.06437008,0.009898734,0.07004795,0.1156886,0.0007098179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981698,0.0006268606,0.002801065,0.003311036,0.0001131765,0.0003099544,0.0001760232,0.00004895639,0.01091508],"genre_scores_gemma":[0.987819,0.0004371511,0.007254458,0.001238866,0.00007977476,0.0001781844,0.0002041924,0.000008275473,0.002780259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082832,"threshold_uncertainty_score":0.05726629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260293130938479,"score_gpt":0.419025117717941,"score_spread":0.3929958046240931,"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."}}