{"id":"W2062320772","doi":"10.1080/13561820701476348","title":"Using electronic cases to teach healthcare professionals and students about interprofessionalism","year":2008,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Health Canada","keywords":"Interprofessional education; Health professionals; Health care; Medical education; Nursing; Medicine; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01143187,0.0008464003,0.0002724204,0.002073907,0.003146245,0.003714186,0.001688796,0.002430117,0.011259],"category_scores_gemma":[0.03049995,0.000535721,0.0005562429,0.001147829,0.003145719,0.007128229,0.006690017,0.003814179,0.002682623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329681,"about_ca_system_score_gemma":0.003540129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038397,"about_ca_topic_score_gemma":0.005209375,"domain_scores_codex":[0.993141,0.004425698,0.0003065257,0.0003394006,0.001194597,0.0005928508],"domain_scores_gemma":[0.9782932,0.01561476,0.00102281,0.001661468,0.001425459,0.001982331],"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":[0.0003447004,0.0123176,0.02408446,0.0006983411,0.00005608361,0.00503079,0.05724641,0.001595848,0.002681103,0.0534502,0.08680933,0.7556852],"study_design_scores_gemma":[0.001053777,0.004289833,0.02130781,0.003892062,0.00009580359,0.01341333,0.1006999,0.005059356,0.0136788,0.1360522,0.700196,0.0002611676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4757065,0.007232572,0.09590969,0.06468151,0.004317271,0.003286322,0.0003229477,0.0006768174,0.3478663],"genre_scores_gemma":[0.8069146,0.01054884,0.1281457,0.009295644,0.0006763199,0.001870891,0.0004116297,0.0001482806,0.04198813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143187,"threshold_uncertainty_score":0.06045824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255502399435039,"score_gpt":0.5161524015687186,"score_spread":0.4635973775743681,"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."}}