{"id":"W2614923753","doi":"10.36834/cmej.36834","title":"Enriching health-professional programs in global health: Development and implementation of an interdisciplinary and integrated approach","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Global Health and Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Data science; Engineering management; Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.09005471,0.001008979,0.0008313471,0.005078452,0.005942491,0.01093509,0.004014724,0.003427211,0.003806022],"category_scores_gemma":[0.04325149,0.0006363849,0.0009508169,0.003291815,0.007784693,0.007734096,0.02724048,0.004531072,0.0006396058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01693522,"about_ca_system_score_gemma":0.1431397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006231584,"about_ca_topic_score_gemma":0.01597018,"domain_scores_codex":[0.9578027,0.02931282,0.001789575,0.001776759,0.006091834,0.003226396],"domain_scores_gemma":[0.9522513,0.02173589,0.002758886,0.004512436,0.008267146,0.01047433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007182882,0.001498841,0.008303542,0.007614405,0.0001036284,0.0004311594,0.08505645,0.001519658,0.002067471,0.05564135,0.01176485,0.8259268],"study_design_scores_gemma":[0.000374025,0.002062597,0.04820892,0.04271423,0.0004092654,0.001627054,0.292112,0.004425141,0.00626908,0.1163657,0.4852059,0.0002260445],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2169692,0.02181837,0.295624,0.2224865,0.002484082,0.03096936,0.0003592116,0.001050074,0.2082391],"genre_scores_gemma":[0.4525064,0.008310951,0.5154569,0.008715755,0.0001981369,0.008045534,0.0002102389,0.0001040705,0.006452133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09005471,"threshold_uncertainty_score":0.4762605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380534917590012,"score_gpt":0.4371650645453911,"score_spread":0.4033597153694909,"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."}}