{"id":"W2087156328","doi":"10.3138/cpp.39.3.359","title":"Making Good Regulations","year":2013,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Work (physics); Quality (philosophy); Business; Public interest; Process management; Public economics; Risk analysis (engineering); Economics; Law and economics; Political science; Computer science; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0302841,0.0006875546,0.0007860142,0.002066861,0.007485656,0.01144009,0.001947676,0.006866815,0.01329168],"category_scores_gemma":[0.05730795,0.0005383719,0.001126258,0.001395664,0.01605095,0.008073844,0.004889098,0.006725515,0.00290741],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006893796,"about_ca_system_score_gemma":0.01757077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516906,"about_ca_topic_score_gemma":0.02192094,"domain_scores_codex":[0.9619806,0.01235055,0.001211304,0.003387248,0.01720676,0.003863441],"domain_scores_gemma":[0.9626166,0.01617962,0.003224063,0.007272533,0.008558936,0.002148226],"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":[0.00001029025,0.00003850187,0.0007361278,0.0001095765,0.00001987047,0.00008826792,0.001762977,0.0009654413,0.0003676249,0.954932,0.02268755,0.01828178],"study_design_scores_gemma":[0.00002330132,0.00004225512,0.001630655,0.0004181452,0.00003223343,0.0001280005,0.003052258,0.0005507967,0.001203878,0.5131786,0.4796838,0.00005604374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02462702,0.003853831,0.06279418,0.1258306,0.003385087,0.0003318833,0.000262862,0.0004214205,0.7784932],"genre_scores_gemma":[0.7545168,0.006387383,0.06195378,0.06806909,0.002099241,0.0005075074,0.0004414599,0.0004804393,0.1055444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931062,"threshold_uncertainty_score":0.1601596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05625201366052088,"score_gpt":0.2635499739800133,"score_spread":0.2072979603194924,"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."}}