{"id":"W3121561728","doi":"10.1177/0002716217696085","title":"Intermediary Complexity in Regulatory Governance","year":2017,"lang":"en","type":"article","venue":"The Annals of the American Academy of Political and Social Science","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Oxford; Oriel College, University of Oxford","keywords":"Intermediary; Orchestration; Delegation; Corporate governance; Business; Regulatory state; Regulatory authority; Law and economics; Public administration; Political science; Law; Economics; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01351622,0.0006308582,0.001100711,0.002420063,0.005587747,0.01344067,0.002442078,0.006115699,0.01313865],"category_scores_gemma":[0.02970236,0.0007865836,0.001509974,0.002178464,0.02976478,0.01781733,0.009588223,0.005992602,0.00144687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005650167,"about_ca_system_score_gemma":0.00636503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927171,"about_ca_topic_score_gemma":0.00244199,"domain_scores_codex":[0.9850368,0.008365772,0.0006413494,0.002308661,0.002098689,0.00154865],"domain_scores_gemma":[0.9682606,0.02196011,0.002715937,0.004235393,0.001566813,0.001261111],"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":[0.00000838786,0.000007143262,0.0002386545,0.00002335995,0.000004630384,0.00005916477,0.0004892481,0.001156416,0.00007086933,0.9959944,0.0003257344,0.00162195],"study_design_scores_gemma":[0.00002945394,0.00002780148,0.0003407623,0.00009810847,0.00001750293,0.00008568115,0.000715812,0.006376912,0.0002276314,0.970421,0.02164143,0.0000179512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1069982,0.004702933,0.3702849,0.04084922,0.0005982918,0.0003977835,0.0002033544,0.0003681795,0.475597],"genre_scores_gemma":[0.9604813,0.001568128,0.02299321,0.001207922,0.0003379121,0.0003886081,0.00009556367,0.00006190424,0.01286549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01351622,"threshold_uncertainty_score":0.07148147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1623000235202946,"score_gpt":0.3916466690420415,"score_spread":0.2293466455217469,"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."}}