{"id":"W7025110888","doi":"","title":"Unraveling Trump’s “Two-for-One” Regulatory Reform Plan","year":2017,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Global Financial Regulation and Crises","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regulatory reform; Enforcement; Agency (philosophy); Regulatory agency; Administrative law; Unintended consequences; George (robot); Law enforcement","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":[],"consensus_categories":[],"category_scores_codex":[0.0585002,0.001412198,0.001534742,0.002948016,0.01222848,0.01923487,0.006134905,0.03082407,0.00814158],"category_scores_gemma":[0.07176987,0.001070749,0.002346201,0.002279826,0.04072063,0.03495393,0.01285595,0.04644238,0.002495154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01867371,"about_ca_system_score_gemma":0.04934884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753819,"about_ca_topic_score_gemma":0.01926724,"domain_scores_codex":[0.9414025,0.02905433,0.001337867,0.006389191,0.01517869,0.006637457],"domain_scores_gemma":[0.9655029,0.01879107,0.001827985,0.00300676,0.007051028,0.0038202],"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":[0.000008994068,0.00004393673,0.00007606704,0.00004047016,0.000007155578,0.0000348687,0.0006032032,0.0002629394,0.00005677432,0.9491575,0.04209048,0.0076176],"study_design_scores_gemma":[0.00008166866,0.00009062788,0.0002263919,0.0003039615,0.00001921439,0.0000572107,0.0009625292,0.001410727,0.0002458061,0.7100879,0.2864296,0.00008436683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004399651,0.00327876,0.02518957,0.8664489,0.005461782,0.0001595453,0.00007377703,0.00020147,0.09478647],"genre_scores_gemma":[0.2502943,0.003458552,0.05363189,0.6294737,0.005713669,0.001361884,0.0001370677,0.0003969417,0.05553199],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0585002,"threshold_uncertainty_score":0.3093823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04662226900325563,"score_gpt":0.2558986685043936,"score_spread":0.209276399501138,"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."}}