{"id":"W3127018525","doi":"10.1080/23812346.2020.1864929","title":"Aspiring rule-makers: Chinese business actors in global governance","year":2021,"lang":"en","type":"article","venue":"Journal of Chinese Governance","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Corporate governance; China; Global governance; Corporation; Business; Government (linguistics); State (computer science); Public relations; Economic system; Political science; Economics; Finance","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":[0.003943635,0.0003014343,0.0003119308,0.001108312,0.01020818,0.007170188,0.0006488062,0.001254278,0.003684788],"category_scores_gemma":[0.003510541,0.0002649773,0.0001970512,0.00217717,0.01489383,0.004479164,0.004386637,0.002568461,0.0001572604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01004665,"about_ca_system_score_gemma":0.009026867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07609165,"about_ca_topic_score_gemma":0.09623762,"domain_scores_codex":[0.9979098,0.0007305331,0.00006749696,0.0002172295,0.0003814122,0.0006934824],"domain_scores_gemma":[0.9981667,0.0006798331,0.0003151935,0.0002092615,0.0001597646,0.0004692215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006866424,0.0000520977,0.04394324,0.00007100188,0.00001600587,0.001812177,0.6952495,0.0004569926,0.001307623,0.238043,0.002904675,0.01607496],"study_design_scores_gemma":[0.00004475363,0.0001256783,0.07619535,0.0002154417,0.00007148452,0.0005500632,0.7686349,0.003275935,0.002079011,0.03752051,0.1111705,0.0001164459],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356962,0.0003400808,0.0006697,0.005698164,0.00003842023,0.00003514593,0.00001372346,0.000009704627,0.05749883],"genre_scores_gemma":[0.9963497,0.0001402291,0.00007424803,0.0002705955,0.000006260423,0.000006774711,0.000007789105,0.000002497254,0.003141847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07609165,"threshold_uncertainty_score":0.1512975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008968038780008273,"score_gpt":0.2601075236397043,"score_spread":0.251139484859696,"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."}}