{"id":"W2214182362","doi":"10.18192/uojm.v4i1.1034","title":"Are Branched Narratives and Virtual Patient Models Acceptable Means of Reforming Case-based Learning?","year":2014,"lang":"en","type":"article","venue":"University of Ottawa Journal of Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Complaint; Medical history; Section (typography); Plan (archaeology); Narrative; Salient; Medical education; Physical examination; Curriculum; Psychology; Order (exchange); Computer science; Medicine; Knowledge management; Pedagogy; Artificial intelligence; Radiology; Political science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02793716,0.00064641,0.0003889292,0.002359768,0.002096718,0.01274866,0.003962092,0.002579849,0.0142563],"category_scores_gemma":[0.07646655,0.0005112503,0.0006106703,0.001296759,0.01563493,0.02007771,0.008807383,0.002683078,0.002281185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005095098,"about_ca_system_score_gemma":0.00502457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056095,"about_ca_topic_score_gemma":0.004774246,"domain_scores_codex":[0.9759089,0.02074748,0.0004910998,0.0005652562,0.001806702,0.0004805321],"domain_scores_gemma":[0.9415888,0.04080657,0.003602125,0.00872068,0.002288004,0.002993868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001370971,0.000350345,0.004778035,0.000695132,0.00002436765,0.0003992361,0.07167672,0.002120351,0.0003166634,0.6535623,0.0231039,0.2428359],"study_design_scores_gemma":[0.000146856,0.000343606,0.001804366,0.002764422,0.00004021268,0.001432026,0.05735971,0.008183774,0.001019939,0.4915768,0.4352103,0.000117905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1267021,0.01229588,0.3874869,0.1746565,0.00355333,0.001243999,0.0006546187,0.00158089,0.2918259],"genre_scores_gemma":[0.690968,0.006219123,0.2803558,0.00415275,0.0005908056,0.001258482,0.0004172665,0.0002865343,0.01575128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02793716,"threshold_uncertainty_score":0.1477476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447722908481247,"score_gpt":0.2474597754188097,"score_spread":0.2329825463339972,"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."}}