{"id":"W2416529200","doi":"10.2310/8000.2011.100206","title":"Integrating CanMEDS competencies into global health electives: an innovative elective program","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Global Health and Surgery","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Mount Sinai Hospital; McMaster University; University of Toronto","funders":"","keywords":"Curriculum; Global health; Medical education; Medicine; Core competency; Bridge (graph theory); Pediatric emergency medicine; Process (computing); Globalization; Nursing; Psychology; Political science; Public health; Pedagogy; Emergency department; Management; Computer science","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":[0.005597402,0.0005588745,0.0003046935,0.0009592546,0.00340452,0.00171039,0.001809245,0.001046975,0.01233539],"category_scores_gemma":[0.005885134,0.0003661835,0.0005456518,0.0005991154,0.0009078269,0.00153817,0.009498974,0.002426511,0.001324221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806783,"about_ca_system_score_gemma":0.02954946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135157,"about_ca_topic_score_gemma":0.02203228,"domain_scores_codex":[0.9984404,0.0004233657,0.00006612655,0.0001740117,0.0003830518,0.0005129862],"domain_scores_gemma":[0.9884782,0.0008927817,0.0003292973,0.0003333475,0.0007829172,0.009183373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001113468,0.0616143,0.05017716,0.00093772,0.00007041565,0.002059571,0.01067866,0.003655828,0.006186079,0.009739966,0.1049805,0.7487863],"study_design_scores_gemma":[0.004959224,0.0202808,0.3053641,0.002503214,0.0003215246,0.006852709,0.04259436,0.01480129,0.01736117,0.03962868,0.5448222,0.0005107157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8303155,0.0008689095,0.02228702,0.03624611,0.002936635,0.005936889,0.0004240399,0.0005949849,0.1003899],"genre_scores_gemma":[0.765101,0.001754592,0.1728717,0.01357974,0.001093094,0.004748522,0.0007975188,0.0001142036,0.0399395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233539,"threshold_uncertainty_score":0.04126596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013160853739867,"score_gpt":0.4104748786331051,"score_spread":0.3091587932591184,"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."}}