{"id":"W3005845852","doi":"10.1111/rego.12305","title":"Market structure and disempowering regulatory intermediaries: Insights from U.S. trade surveillance","year":2020,"lang":"en","type":"article","venue":"Regulation & Governance","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; University College, Oxford; Royal Bank of Canada; George Mason University","keywords":"Intermediary; Outsourcing; Commission; Audit; Competition (biology); Business; Empirical evidence; Freedom of information; Economics; Public administration; Public relations; Accounting; Political science; Finance; Law; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003508457,0.0002082635,0.0002535749,0.00002605225,0.0001752613,0.0001938224,0.0001624128,0.0000641486,0.0003256789],"category_scores_gemma":[0.0001098231,0.0001962811,0.0000500404,0.0002678809,0.0001578488,0.0009117622,0.000136043,0.0001017278,0.0000143805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003015623,"about_ca_system_score_gemma":0.00001059426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003138939,"about_ca_topic_score_gemma":0.00008211849,"domain_scores_codex":[0.9988385,0.00001020621,0.0002744042,0.0004024885,0.000311213,0.0001631648],"domain_scores_gemma":[0.9992791,0.00003880075,0.0004047384,0.0002056948,0.00004492232,0.00002670469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007991616,0.000068215,0.5957207,0.0007467159,0.0002810306,0.00002447196,0.002760282,0.001478773,0.01405259,0.1627286,0.1371849,0.08415458],"study_design_scores_gemma":[0.0003655938,0.000003510988,0.8172632,0.00004886226,0.00000900232,3.46951e-7,0.00006160256,0.01464168,0.00006851944,0.003661373,0.1636716,0.0002046786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977488,0.002565858,0.00190486,0.01187145,0.0005846774,0.000288729,0.00003803776,0.0002593413,0.004999016],"genre_scores_gemma":[0.9963943,0.00007531628,0.0001361438,0.001907327,0.001288876,0.000005661236,0.00003505978,0.00002486392,0.0001323881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215425,"threshold_uncertainty_score":0.8004112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009641730562715074,"score_gpt":0.1900479697360881,"score_spread":0.180406239173373,"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."}}