{"id":"W2416097560","doi":"10.1186/s12909-016-0675-4","title":"Developing consensus for postgraduate global health electives: definitions, pre-departure training and post-return debriefing","year":2016,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Global Health and Surgery","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Queen's University","funders":"","keywords":"Debriefing; Curriculum; Medical education; Global health; Delphi method; Preparedness; Medicine; Scope (computer science); Psychology; Nursing; Political science; Public health; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2442183,0.001415888,0.001321124,0.005584502,0.006363549,0.004192878,0.005164878,0.003224861,0.005022136],"category_scores_gemma":[0.2895207,0.001403698,0.002963566,0.002360635,0.006165064,0.006554419,0.01646966,0.007554888,0.001839648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01437368,"about_ca_system_score_gemma":0.05407393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221122,"about_ca_topic_score_gemma":0.008213527,"domain_scores_codex":[0.7541105,0.1844042,0.02721686,0.006416198,0.02010509,0.00774717],"domain_scores_gemma":[0.6878156,0.1153853,0.02145372,0.01427697,0.1425985,0.01846991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007856702,0.001440609,0.01956883,0.0086814,0.0001150631,0.001109508,0.6394912,0.003397296,0.01328964,0.01670839,0.03251784,0.2628945],"study_design_scores_gemma":[0.0005325449,0.002424947,0.041597,0.01262054,0.0001088427,0.001622562,0.7107049,0.01824027,0.01200394,0.0395547,0.1597053,0.0008843493],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.385648,0.001735666,0.4269001,0.03361366,0.003121648,0.11569,0.001207522,0.0008717698,0.03121167],"genre_scores_gemma":[0.4093653,0.001494261,0.5125697,0.003231167,0.0002952611,0.06693659,0.001160091,0.0002062753,0.004741355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2442183,"threshold_uncertainty_score":0.9320134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06520034618939873,"score_gpt":0.3916478397652446,"score_spread":0.3264474935758459,"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."}}