{"id":"W4394928287","doi":"10.1186/s12910-024-01044-w","title":"Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research","year":2024,"lang":"en","type":"article","venue":"BMC Medical Ethics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Health and Medical Research Council; Institut National de la Santé et de la Recherche Médicale; Medical Research Council; South African Medical Research Council; UK Research and Innovation; Wellcome Trust; National Institutes of Health; National University of Singapore; World Health Organization","keywords":"Bioethics; Philosophy of medicine; Research ethics; Global health; Public health; Accountability; Corporate governance; Political science; Thematic analysis; Health care; Public relations; Sociology; Engineering ethics; Qualitative research; Medicine; Social science; Law; Nursing; Alternative medicine; Management","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.3496258,0.001389359,0.002077356,0.005103948,0.02759121,0.04794855,0.004469059,0.04162898,0.003126444],"category_scores_gemma":[0.1651273,0.001282356,0.001970726,0.005293907,0.1400673,0.04094274,0.04115663,0.04446572,0.0004260474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02196808,"about_ca_system_score_gemma":0.03888493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003855876,"about_ca_topic_score_gemma":0.003257257,"domain_scores_codex":[0.6529211,0.3141007,0.004858705,0.005813095,0.01264102,0.009665333],"domain_scores_gemma":[0.4681622,0.4912564,0.008913464,0.007335502,0.01020045,0.0141319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003678041,0.00003975413,0.0007105012,0.0004546895,0.00001653903,0.0006656443,0.1988805,0.0005036891,0.0002320726,0.7723256,0.012884,0.01325014],"study_design_scores_gemma":[0.00006144297,0.00009615933,0.000861129,0.002875762,0.00001841123,0.000985237,0.1928199,0.0009652929,0.0002960418,0.5046533,0.2962383,0.0001289147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01612559,0.01772255,0.008232526,0.9341121,0.003405995,0.00008420894,0.00002967751,0.00002382836,0.02026347],"genre_scores_gemma":[0.7832143,0.01772501,0.01073248,0.1772356,0.006014933,0.0004921459,0.00005490818,0.0001483732,0.004382181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.958371,"threshold_uncertainty_score":0.8020272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.831907839478524,"score_gpt":0.6998568505325131,"score_spread":0.1320509889460109,"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."}}