{"id":"W4386822962","doi":"10.1016/s2214-109x(23)00382-0","title":"Glocal is global: reimagining the training of global health students in high-income countries","year":2023,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Global Health and Surgery","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; McMaster University; Bill and Melinda Gates Foundation","keywords":"Glocalization; Global health; Training (meteorology); Developing country; Political science; Economic growth; Geography; Globalization; Economics; Health care","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02051415,0.0009755791,0.0005569691,0.001620437,0.008829259,0.01324638,0.003352403,0.008229662,0.01577498],"category_scores_gemma":[0.02748927,0.0005081706,0.0008274974,0.001055897,0.0174123,0.01299001,0.02836003,0.01378162,0.003515649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006045144,"about_ca_system_score_gemma":0.03455382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005635358,"about_ca_topic_score_gemma":0.01710294,"domain_scores_codex":[0.9889675,0.006099863,0.0001857673,0.0004550332,0.001056072,0.003235757],"domain_scores_gemma":[0.9706991,0.005047965,0.001098516,0.001371915,0.002159934,0.01962252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002374206,0.0005514309,0.00865135,0.001601734,0.00004331439,0.001586462,0.1413871,0.0005214079,0.002135791,0.04623758,0.473032,0.3240144],"study_design_scores_gemma":[0.00005889375,0.0004903843,0.006968304,0.002820227,0.00002731599,0.0007678355,0.1307509,0.0002057131,0.0007423128,0.02848035,0.8286064,0.00008142163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04457261,0.01683056,0.003157635,0.8620306,0.03004001,0.0001462966,0.00007551516,0.0003099874,0.04283681],"genre_scores_gemma":[0.4377964,0.02118059,0.01319852,0.4671535,0.008913479,0.0003830305,0.0002761155,0.000771408,0.05032695],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02051415,"threshold_uncertainty_score":0.1084905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04618343533112532,"score_gpt":0.4248645104815791,"score_spread":0.3786810751504538,"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."}}