{"id":"W3141448516","doi":"10.17265/1548-6605/2016.02.003","title":"HOW TO STOP SHARK FIN CONSUMPTION IN CHINA―LEGAL AND SOCIAL ANALYSIS","year":2016,"lang":"en","type":"article","venue":"US-China Law Review","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Fin; China; Consumption (sociology); Fishery; Business; Geography; Sociology; Engineering; Biology; Social science; Archaeology","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":[0.003206578,0.0003155617,0.000271532,0.001648912,0.008048866,0.003446358,0.001163821,0.002358997,0.002787234],"category_scores_gemma":[0.002936124,0.0002707426,0.0003529921,0.001447522,0.006269777,0.00206672,0.002188233,0.001990713,0.0001589898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01481848,"about_ca_system_score_gemma":0.03632869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2472207,"about_ca_topic_score_gemma":0.3163037,"domain_scores_codex":[0.9978887,0.0004131781,0.00009554401,0.0001861693,0.0007378181,0.0006786208],"domain_scores_gemma":[0.9988241,0.0002370921,0.0001898995,0.00008035685,0.0004373785,0.0002312119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003989524,0.0001244855,0.03884171,0.0002402279,0.00005236999,0.001071559,0.02703702,0.0009975275,0.001218544,0.7981619,0.06036554,0.07184926],"study_design_scores_gemma":[0.00008184956,0.0001977113,0.1638251,0.0007913852,0.0001440765,0.0002692879,0.03404913,0.006823182,0.002416732,0.123427,0.6677738,0.0002007303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6252611,0.008596479,0.002608027,0.1381671,0.0006168013,0.000227593,0.0001457957,0.00009345923,0.2242838],"genre_scores_gemma":[0.949897,0.002366626,0.001340506,0.009181796,0.0001488005,0.00008113353,0.00006526223,0.00001582192,0.03690308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472207,"threshold_uncertainty_score":0.4915633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977307779902633,"score_gpt":0.2433065619738005,"score_spread":0.2235334841747742,"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."}}