{"id":"W4409218487","doi":"10.1080/15265161.2025.2470657","title":"Consent Is Dead, Long Live Ethical Oversight: Integrating Ethically Sourced Data into Demonstrated Consent Models","year":2025,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Common Fund for Commodities","keywords":"Informed consent; Psychology; Internet privacy; Engineering ethics; Political science; Medicine; Computer science; Engineering; Alternative medicine","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","metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.01306191,0.000608656,0.001514324,0.000340602,0.002111135,0.0009363441,0.004446756,0.00349565,0.00008138426],"category_scores_gemma":[0.01456228,0.0004446229,0.0005792905,0.000993013,0.01968732,0.0003917924,0.0008251769,0.03701738,0.00001874581],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005336779,"about_ca_system_score_gemma":0.01859462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04014092,"about_ca_topic_score_gemma":0.01165152,"domain_scores_codex":[0.9866429,0.007065429,0.001572273,0.0006369205,0.003136005,0.0009464964],"domain_scores_gemma":[0.9651993,0.02589206,0.003572567,0.001217896,0.003673065,0.0004451231],"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":[0.0002237769,0.00007231566,0.00005800151,0.0001687704,0.001284466,0.0006257647,0.1574457,0.00006657355,0.00003511305,0.02067855,0.8159417,0.003399299],"study_design_scores_gemma":[0.001402352,0.001950009,0.00003932567,0.007446878,0.00284324,0.0002002277,0.2734607,0.002328255,0.0001115181,0.2339021,0.4737003,0.002615214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002458496,0.0006881079,0.004951081,0.9859636,0.0008943752,0.0003560665,0.0001303635,0.00005473064,0.004503189],"genre_scores_gemma":[0.07520936,0.008660369,0.003044835,0.9088515,0.003316694,0.000002615074,0.00005313984,0.00006279596,0.0007986928],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3422414,"threshold_uncertainty_score":0.9998006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.21186616043061,"score_gpt":0.4440901102269934,"score_spread":0.2322239497963833,"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."}}