{"id":"W4403680690","doi":"10.1145/3689904.3694708","title":"The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa","year":2024,"lang":"en","type":"article","venue":"","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada)","funders":"","keywords":"Colonialism; Computer science; Political science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1473246,0.0006209713,0.001971105,0.00416556,0.008699559,0.00863201,0.002033217,0.002426217,0.002736008],"category_scores_gemma":[0.1713863,0.0009640377,0.001304625,0.004673646,0.01123893,0.01379948,0.007908246,0.003714103,0.0001373078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007310252,"about_ca_system_score_gemma":0.01591101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066715,"about_ca_topic_score_gemma":0.01838242,"domain_scores_codex":[0.8495865,0.1337722,0.005791388,0.003294274,0.00443405,0.003121499],"domain_scores_gemma":[0.7978431,0.1740948,0.01276595,0.004640548,0.008512016,0.002143576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001264834,0.000137484,0.0210268,0.003979209,0.0002275232,0.0005486755,0.9290008,0.0001068335,0.0002486364,0.01176882,0.001068134,0.03176054],"study_design_scores_gemma":[0.00004350872,0.0002866052,0.01020294,0.0097617,0.0002174772,0.000283867,0.9554005,0.0003351972,0.0003392273,0.007593815,0.01547194,0.00006326535],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255819,0.02866131,0.01213682,0.02304766,0.0004527736,0.002211349,0.0002523407,0.00001542771,0.007640344],"genre_scores_gemma":[0.9746644,0.006743143,0.008751252,0.006855658,0.00009064999,0.002109486,0.00006104536,0.00002842495,0.0006960139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1473246,"threshold_uncertainty_score":0.7791364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253016321492567,"score_gpt":0.5183229135458796,"score_spread":0.3930212813966228,"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."}}