{"id":"W1923729418","doi":"","title":"Law versus Regulation: A Political Economy Model of Instrument Choice in Environmental Policy","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Incentive; Liability; Politics; Agency (philosophy); Context (archaeology); Public economics; Agency cost; Value (mathematics); Economics; Law and economics; Intervention (counseling); Business; Microeconomics; Law; Political science; Corporate governance; Finance; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007672719,0.0007892825,0.00135269,0.001233161,0.001727253,0.007336066,0.002567772,0.005059264,0.01916264],"category_scores_gemma":[0.0150174,0.0007261418,0.001961876,0.001753098,0.005256634,0.008057272,0.003289718,0.004309428,0.001251771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083978,"about_ca_system_score_gemma":0.002651792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086032,"about_ca_topic_score_gemma":0.004038808,"domain_scores_codex":[0.9942411,0.003632614,0.0001214543,0.0006183965,0.0007262866,0.0006600748],"domain_scores_gemma":[0.9907417,0.007452424,0.0007228391,0.0004248395,0.0003901282,0.0002680745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002349733,0.0000225184,0.0003604085,0.00002580689,0.00001712293,0.00004353822,0.000132022,0.02935896,0.00009386237,0.9665073,0.0005026013,0.00291239],"study_design_scores_gemma":[0.00005320608,0.00005678003,0.000418139,0.00003626644,0.00002446895,0.00004075711,0.0001650101,0.1002289,0.0001064158,0.8933146,0.005528222,0.00002726456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08153359,0.00171175,0.6671462,0.02024194,0.0003068386,0.0003151211,0.0005693908,0.0001846573,0.2279905],"genre_scores_gemma":[0.919103,0.001696705,0.03061396,0.001119403,0.000289476,0.0004736217,0.0001180295,0.0001004777,0.04648535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01916264,"threshold_uncertainty_score":0.06410545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642720975133174,"score_gpt":0.2426599789752618,"score_spread":0.19623276922393,"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."}}