{"id":"W2267212514","doi":"","title":"Using Empirical Data to Design and Improve Regulatory Regimes in the Common Law Countries (including the U.S, U.K., Canada and Australia)","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":false,"ca_institutions":"","funders":"","keywords":"Law; Common law; Political science; Geography","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":[0.07671877,0.0005496686,0.0008202431,0.009222048,0.00141739,0.004636233,0.001969479,0.001840796,0.0036928],"category_scores_gemma":[0.278116,0.0004815499,0.0005453203,0.01216855,0.001925298,0.00568332,0.001785294,0.002606484,0.0008377655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005511051,"about_ca_system_score_gemma":0.01134152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05653635,"about_ca_topic_score_gemma":0.09701458,"domain_scores_codex":[0.9427605,0.03954028,0.005746273,0.002754771,0.007939016,0.001259206],"domain_scores_gemma":[0.5278514,0.2898206,0.0718644,0.03060644,0.07739764,0.002459612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002252477,0.001812667,0.7709014,0.001376885,0.0005362334,0.000127736,0.00330551,0.02310486,0.0007683224,0.03740031,0.02821573,0.1322251],"study_design_scores_gemma":[0.0004696382,0.001520615,0.7283246,0.004280315,0.0008328811,0.0001155163,0.01758552,0.09200126,0.007285701,0.05074401,0.09654118,0.0002988902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438582,0.003946865,0.06925867,0.01738568,0.0003787582,0.001760115,0.01309271,0.0003610394,0.04995796],"genre_scores_gemma":[0.9528664,0.001484176,0.03360727,0.001261286,0.00009950209,0.0005271218,0.008715886,0.00005751308,0.001380768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9434637,"threshold_uncertainty_score":0.4057325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292747099065775,"score_gpt":0.344196688754876,"score_spread":0.1149219788482985,"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."}}