{"id":"W7100285317","doi":"","title":"1 EVIDENCE-BASED POLICY AND POLITICAL CONTROL: WHAT DOES REGULATORY IMPACT ASSESSMENT TELL US?","year":2014,"lang":"en","type":"article","venue":"","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Bureaucracy; Delegation; Government (linguistics); Unintended consequences; Process (computing); Political process; Impact assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1926831,0.001458702,0.00483495,0.01538556,0.003432992,0.03314004,0.004014917,0.01418795,0.004655494],"category_scores_gemma":[0.4572953,0.001343652,0.001572894,0.02074895,0.04783954,0.03510953,0.006613012,0.009455399,0.0008584535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02521041,"about_ca_system_score_gemma":0.03094419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0324534,"about_ca_topic_score_gemma":0.02278475,"domain_scores_codex":[0.8066273,0.1279095,0.01051342,0.008340415,0.04324,0.003369568],"domain_scores_gemma":[0.2918765,0.6190318,0.03645338,0.02025091,0.02989023,0.002497144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004271571,0.0002360624,0.02574633,0.01157629,0.0008532431,0.00028654,0.003099885,0.005216947,0.0003053228,0.7423686,0.01686333,0.1930203],"study_design_scores_gemma":[0.0001123179,0.0002500673,0.0163517,0.02313605,0.0005381155,0.0002365849,0.003842907,0.002587098,0.0006639815,0.8777243,0.07434376,0.0002131553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02424604,0.3183603,0.02556394,0.5690621,0.002124601,0.0002184731,0.001319716,0.00009740429,0.05900749],"genre_scores_gemma":[0.7926694,0.1332987,0.02140471,0.04398267,0.005095841,0.0002874458,0.0006622343,0.0001014007,0.002497526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1926831,"threshold_uncertainty_score":0.9955655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965596969569533,"score_gpt":0.3044486737138248,"score_spread":0.2747927040181294,"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."}}