{"id":"W2290824869","doi":"","title":"Cuffs and Compliance: A 5-year Retrospective of Criminal Anticartel Competition Law Enforcement in Canada","year":2014,"lang":"en","type":"article","venue":"Antitrust chronicle","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Law; Enforcement; Competition (biology); Criminal law; Law enforcement; Competition law; Criminology; Political science; Economics; Psychology; Social psychology","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":[0.002682806,0.0003729597,0.0007582541,0.007541585,0.006833515,0.003431976,0.00290857,0.001564456,0.002695471],"category_scores_gemma":[0.01224502,0.0009651934,0.0007531903,0.01495913,0.001792425,0.001219403,0.002659586,0.003126049,0.0007335963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06204827,"about_ca_system_score_gemma":0.1266513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951609,"about_ca_topic_score_gemma":0.9969178,"domain_scores_codex":[0.991731,0.0003260274,0.0005735624,0.0005644711,0.00474662,0.002058212],"domain_scores_gemma":[0.9548903,0.00141295,0.009834664,0.0008069978,0.02825625,0.004798972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001156235,0.0001834991,0.9525183,0.0001311113,0.0001017631,0.000186123,0.003599534,0.0002958136,0.0001343646,0.0006763783,0.02419801,0.0178595],"study_design_scores_gemma":[0.000004676111,0.00003726374,0.9890257,0.0000744591,0.00002484647,0.00003692009,0.002141122,0.0002403782,0.0001060307,0.00002605438,0.008255299,0.00002727556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154654,0.003781303,0.0004291602,0.006832289,0.0001682772,0.0004091725,0.05421739,0.0001643354,0.01853267],"genre_scores_gemma":[0.9614723,0.003151558,0.0004518686,0.001930017,0.0000882033,0.0001622336,0.01750188,0.00006322571,0.0151786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06204827,"threshold_uncertainty_score":0.4501938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042613252600691,"score_gpt":0.2136197656074844,"score_spread":0.1931936330814775,"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."}}