{"id":"W4387439252","doi":"10.1080/15265161.2023.2249854","title":"China’s New Regulations on Generative AI: Implications for Bioethics","year":2023,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics","funders":"","keywords":"Bioethics; China; Political science; Environmental ethics; Engineering ethics; Sociology; Psychology; Philosophy; Law; Engineering","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":[0.01857897,0.0007144377,0.001086113,0.0009814589,0.01070126,0.007013266,0.002674256,0.07509039,0.008073553],"category_scores_gemma":[0.03341296,0.0007956625,0.001690762,0.001055811,0.01110479,0.006194117,0.004184542,0.04474029,0.001929683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01868572,"about_ca_system_score_gemma":0.04909506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379927,"about_ca_topic_score_gemma":0.21446,"domain_scores_codex":[0.9905534,0.00277162,0.0006660447,0.0008574969,0.003057915,0.002093577],"domain_scores_gemma":[0.963017,0.02605068,0.001062899,0.0009611712,0.00466819,0.004240017],"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":[0.00009574513,0.00006335945,0.003205357,0.00009914664,0.00002106542,0.00152119,0.002886648,0.0002191528,0.0005834724,0.1256202,0.8530088,0.01267574],"study_design_scores_gemma":[0.0002016729,0.00008960709,0.004571714,0.0003028623,0.00002760741,0.0004982734,0.001996957,0.001053887,0.0005583463,0.0587225,0.9317735,0.0002030465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001489949,0.0005067603,0.0001272039,0.9867617,0.00250682,0.00001007962,0.00004478528,0.00001187026,0.008540802],"genre_scores_gemma":[0.009963741,0.0001936588,0.0002545529,0.9777141,0.001631619,0.00003678672,0.00001734036,0.000009960429,0.01017835],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1379927,"threshold_uncertainty_score":0.2743791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4323981610483949,"score_gpt":0.5256061462350665,"score_spread":0.09320798518667162,"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."}}