{"id":"W4412104886","doi":"10.1093/oodh/oqaf016","title":"Global South-led responsible AI solutions to strengthen health systems: an emergent research landscape","year":2025,"lang":"en","type":"article","venue":"Oxford Open Digital Health","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Environmental planning; Environmental resource management; Political science; Geography; Environmental science","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":[0.00179483,0.0001822084,0.0005518216,0.0003965665,0.0008131888,0.0002224483,0.0005471527,0.0008600913,0.00004990462],"category_scores_gemma":[0.000219227,0.0001575367,0.00006633493,0.001743671,0.0001067417,0.0002653348,0.0006120495,0.001544285,0.00009543861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000492111,"about_ca_system_score_gemma":0.004234704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009354659,"about_ca_topic_score_gemma":0.0009876743,"domain_scores_codex":[0.9971647,0.0002591411,0.0006165475,0.000569291,0.0003473043,0.001042993],"domain_scores_gemma":[0.9981295,0.00006361651,0.0000915049,0.0008314105,0.0002020324,0.00068195],"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":[0.004205074,0.002027008,0.02828974,0.001115345,0.0004136519,0.00006833601,0.002019359,0.0002978354,0.000007056994,0.3840866,0.423632,0.153838],"study_design_scores_gemma":[0.004626946,0.008234979,0.03182027,0.002465558,0.00003394979,0.0001246202,0.01376647,0.002107582,0.0000139882,0.003008075,0.9333175,0.0004800495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1529374,0.005637662,0.002066344,0.7079083,0.001388447,0.006796609,0.0007009002,0.0005238164,0.1220405],"genre_scores_gemma":[0.9798797,0.0006606932,0.0004013581,0.007179021,0.00008262288,0.0001114725,0.0001985609,0.00002103242,0.01146557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8269423,"threshold_uncertainty_score":0.7512183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07798926097419118,"score_gpt":0.4290934714791187,"score_spread":0.3511042105049275,"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."}}