{"id":"W2943263346","doi":"10.1111/rego.12252","title":"Private regulatory capture via harmonization: An analysis of global retailer regulatory intermediaries","year":2019,"lang":"en","type":"article","venue":"Regulation & Governance","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Intermediary; Business; Harmonization; Corporate governance; Industrial organization; Transnational governance; Regulatory competition; Multinational corporation; Transaction cost; Leverage (statistics); Standardization; International trade; Finance; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003608967,0.0002533456,0.0004846864,0.00009458923,0.0001267174,0.0001575348,0.0003378829,0.0001974763,0.0003471744],"category_scores_gemma":[0.0001805136,0.0002551676,0.0002465008,0.001790571,0.0002610724,0.002104011,0.0001042331,0.0001054709,0.0000313842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033898,"about_ca_system_score_gemma":0.00006614375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006184414,"about_ca_topic_score_gemma":0.0002302538,"domain_scores_codex":[0.9979831,0.00004018714,0.0005149765,0.0004578168,0.0006830808,0.000320816],"domain_scores_gemma":[0.9977798,0.00002142846,0.0009885719,0.0006937946,0.0004804601,0.00003592259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008888989,0.00009351855,0.8157951,0.0001759179,0.0002316833,0.000001649905,0.000321132,0.005894879,0.0002018302,0.1753822,0.0004560534,0.001357124],"study_design_scores_gemma":[0.0003566722,0.00001211594,0.9719956,0.00003525109,0.0004224596,4.12393e-7,0.0004484268,0.01740048,0.00004604722,0.005301696,0.003712063,0.0002687685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939033,0.0001995638,0.002027347,0.0004519061,0.0004563178,0.000355513,0.00003770443,0.0001216485,0.002446685],"genre_scores_gemma":[0.9984713,0.000006854281,0.00009090266,0.0004511783,0.0003829073,0.000004422496,0.0001594682,0.0000222111,0.0004107821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1700806,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008852970475287006,"score_gpt":0.2288608814723744,"score_spread":0.2200079109970874,"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."}}