{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005597287,0.0003812783,0.001613245,0.00004610121,0.000434077,0.00005227755,0.0007896332,0.0001399713,0.00002686203],"category_scores_gemma":[0.0002249932,0.000224177,0.0001697625,0.002715316,0.0003695519,0.0001000234,0.0002790995,0.0005404449,0.0001454348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855165,"about_ca_system_score_gemma":0.00429539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809282,"about_ca_topic_score_gemma":0.003970017,"domain_scores_codex":[0.993647,0.0006101587,0.001360319,0.0005522817,0.001517926,0.002312333],"domain_scores_gemma":[0.9974606,0.0002407357,0.0005386912,0.0009479201,0.0001455739,0.000666471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009076421,0.00008675222,0.8917906,0.0006844864,0.00007034835,0.00005996466,0.0009015988,0.00004809505,8.062514e-8,0.02229335,0.06284813,0.02030891],"study_design_scores_gemma":[0.002802818,0.000459844,0.9689974,0.001031942,0.00002200582,0.0001678037,0.001507227,0.0003041025,4.303074e-7,0.007618379,0.0169234,0.0001646122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6893855,0.004488973,0.00007110758,0.2998489,0.001567245,0.001256858,0.001332321,0.0003146577,0.001734391],"genre_scores_gemma":[0.9254568,0.002869105,0.0001826932,0.07074238,0.0006074251,0.00003161906,0.00005163467,0.0000177584,0.0000405373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2360713,"threshold_uncertainty_score":0.9884458,"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."}}