{"id":"W4385729029","doi":"10.1016/s0140-6736(23)01629-x","title":"Are we training our students to be white saviours in global health?","year":2023,"lang":"en","type":"article","venue":"The Lancet","topic":"Global Health and Surgery","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"White (mutation); Global health; Status quo; Power (physics); White supremacy; Privilege (computing); Political science; White privilege; Colonialism; Racism; Economic growth; Sociology; Gender studies; Health care; Law; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046156,0.00009221996,0.0004548344,0.00005189712,0.0000653706,0.00001449822,0.0001854702,0.00003988494,0.000009575845],"category_scores_gemma":[0.0001336601,0.00006523358,0.00003899362,0.0006690689,0.000008736565,0.00001819895,0.00006179978,0.0001728296,0.0001655073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677684,"about_ca_system_score_gemma":0.000142332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559754,"about_ca_topic_score_gemma":0.0008963387,"domain_scores_codex":[0.9985179,0.00008168794,0.0002191129,0.0001646776,0.0003038514,0.0007128094],"domain_scores_gemma":[0.9993098,0.00002739343,0.00006565831,0.0002943107,0.00002040845,0.0002823884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001888367,0.00002445699,0.645201,0.00006999738,0.000006592847,0.00008090505,0.001715595,0.00002465597,9.364574e-7,0.00005733743,0.3451178,0.007511894],"study_design_scores_gemma":[0.0009964688,0.00006431532,0.9361588,0.0003006931,0.000004008901,0.00001612224,0.006301875,0.00002159686,3.62151e-7,0.0001990575,0.05588134,0.00005534452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6496424,0.0002083733,0.000002534775,0.3485317,0.0003474548,0.000253249,0.00005897582,0.00009113423,0.0008641667],"genre_scores_gemma":[0.9354545,0.0001970905,0.00005304053,0.06316578,0.0005344884,0.00002127911,0.00001463219,0.000008812448,0.0005503534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909579,"threshold_uncertainty_score":0.2660148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564920844000546,"score_gpt":0.4436811347600717,"score_spread":0.2871890503600171,"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."}}