{"id":"W3133450859","doi":"10.1177/0968533221993504","title":"After He Jianku: China's biotechnology regulation reforms","year":2021,"lang":"en","type":"article","venue":"Medical Law International","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"China; Legislature; Political science; Bioethics; Christian ministry; Corporate governance; Public administration; Biotechnology; Sociology; Law; Management; Biology; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009025664,0.0004699518,0.0003897638,0.0009560324,0.006417507,0.006538494,0.0008384055,0.008500514,0.002939768],"category_scores_gemma":[0.007677208,0.0003403453,0.0007597411,0.002103246,0.007400716,0.003621686,0.002085021,0.007497022,0.0004591492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02086381,"about_ca_system_score_gemma":0.04455081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0825301,"about_ca_topic_score_gemma":0.06531088,"domain_scores_codex":[0.9941353,0.001268294,0.000229003,0.0007125469,0.00217274,0.001482197],"domain_scores_gemma":[0.9974655,0.00101354,0.0002191104,0.0002692042,0.0006378073,0.0003948356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000635431,0.00005256661,0.002806379,0.0001428742,0.00002941813,0.0003462914,0.00513845,0.0007791156,0.001881187,0.8653928,0.09819178,0.02517551],"study_design_scores_gemma":[0.00009242444,0.00009790225,0.01338092,0.0002530318,0.00004955061,0.00008282622,0.001431318,0.001552597,0.002645262,0.1041612,0.8761519,0.0001010466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06123456,0.01938126,0.002999736,0.7749,0.003858303,0.0001153167,0.0002052222,0.000139405,0.1371664],"genre_scores_gemma":[0.506216,0.01205838,0.003041953,0.3108915,0.002382479,0.0002661458,0.0002140015,0.00005587547,0.1648736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9935825,"threshold_uncertainty_score":0.1640994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007513804159119126,"score_gpt":0.2827297595985248,"score_spread":0.2752159554394056,"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."}}