{"id":"W4323900653","doi":"10.2196/44357","title":"Ethical Implications of Artificial Intelligence in Population Health and the Public’s Role in Its Governance: Perspectives From a Citizen and Expert Panel","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Simon Fraser University; Université de Montréal; Université Laval","funders":"","keywords":"Corporate governance; Population; Population health; Public relations; Public health; Digital health; Health care; Political science; Psychology; Sociology; Medicine; Business; Environmental health; Nursing; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008217582,0.00006847062,0.0003266592,0.0003582598,0.00005018722,0.0000412752,0.0002179515,0.0002276976,0.0001526423],"category_scores_gemma":[0.01140738,0.00004590716,0.00004166764,0.0007132956,0.0004504179,0.00009761191,0.0001066004,0.001746348,0.000006521111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324353,"about_ca_system_score_gemma":0.0007571395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362105,"about_ca_topic_score_gemma":0.002883897,"domain_scores_codex":[0.9967645,0.0006887625,0.0009343443,0.0001841469,0.00114494,0.0002832873],"domain_scores_gemma":[0.9966722,0.002214931,0.0001945518,0.0001340072,0.0004459449,0.0003384061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001730837,0.0004458982,0.06520294,0.0001415651,0.00004601516,0.00003782821,0.1084789,0.000003242544,0.0004156273,0.1262529,0.003520026,0.6937242],"study_design_scores_gemma":[0.0007860338,0.001570986,0.5465581,0.003474549,0.00001089661,0.0002164167,0.230765,0.04807996,0.001092257,0.1655153,0.001736313,0.0001941896],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.69888,0.003929161,0.0001040753,0.2967693,0.0000725105,0.000209926,0.000002172814,0.000003428844,0.00002944079],"genre_scores_gemma":[0.9859973,0.01295266,0.0000771667,0.0005977799,0.0003159876,0.00002059616,0.000006070616,0.000007186046,0.00002532367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.69353,"threshold_uncertainty_score":0.99692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3539513290489184,"score_gpt":0.5485206197628826,"score_spread":0.1945692907139642,"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."}}