{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596234,0.0001823231,0.0002418212,0.0001763246,0.0001944278,0.0008231034,0.0001153328,0.00004458973,0.000313604],"category_scores_gemma":[0.0001787184,0.0001119274,0.00009192111,0.0001749968,0.0001454678,0.001902039,0.00007671191,0.00006595485,0.00006289643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006698179,"about_ca_system_score_gemma":0.0000481625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005001196,"about_ca_topic_score_gemma":0.00005445744,"domain_scores_codex":[0.9988695,0.00002349278,0.0002111945,0.0002591728,0.0002666425,0.0003699573],"domain_scores_gemma":[0.9992825,0.0001910979,0.00009393629,0.0002485653,0.0001474473,0.00003642679],"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":[0.00003908444,0.00004304237,0.3109977,0.00009421219,0.00003937201,8.31484e-7,0.000005954625,0.0001111985,0.0001935881,0.6761601,0.001597672,0.0107173],"study_design_scores_gemma":[0.0007806952,0.00002137642,0.9452399,0.0001777789,0.00003587013,5.67944e-7,0.0001567167,0.0263726,0.00002834766,0.01168412,0.01528461,0.0002173992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858723,0.0004786162,0.006972931,0.03984633,0.0004033335,0.0004516293,0.000001075322,0.000304406,0.06566939],"genre_scores_gemma":[0.9838768,0.00002550352,0.000161578,0.01407514,0.001359884,0.0000140139,0.000002489516,0.00001447078,0.000470091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.664476,"threshold_uncertainty_score":0.7937205,"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."}}