{"id":"W2322371108","doi":"","title":"Premerger Notification in Canada: How Well is it Working?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Competition (biology); Competition law; Law; Political science; Compliance (psychology); Business; Economics; Psychology; Monopoly","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":[0.0181511,0.0005976127,0.001086521,0.004199916,0.009716347,0.008718396,0.004144954,0.002971469,0.004801445],"category_scores_gemma":[0.06120578,0.0004581271,0.0007543643,0.008432359,0.004585631,0.003743729,0.002289232,0.003094578,0.0005260098],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1764797,"about_ca_system_score_gemma":0.3734589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944556,"about_ca_topic_score_gemma":0.9957076,"domain_scores_codex":[0.9718829,0.00401947,0.0007316784,0.001944738,0.01378444,0.00763674],"domain_scores_gemma":[0.945869,0.01029901,0.005185537,0.001768032,0.02726449,0.009613815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005706567,0.0005030498,0.1455337,0.0009564893,0.0002413381,0.0004933794,0.006419224,0.005823752,0.000900072,0.1476679,0.1679975,0.5228928],"study_design_scores_gemma":[0.0003000765,0.0006525116,0.510562,0.00183712,0.0005913233,0.0002981763,0.01408357,0.01336519,0.00297591,0.02308723,0.431549,0.0006978224],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2966142,0.04492647,0.01271969,0.3847759,0.002355981,0.0009690358,0.004180008,0.001343495,0.2521153],"genre_scores_gemma":[0.9218425,0.0137669,0.007887025,0.02130047,0.0005214535,0.0001334943,0.001421775,0.0001508934,0.03297561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8235203,"threshold_uncertainty_score":0.9551668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458831466648542,"score_gpt":0.1850348783056633,"score_spread":0.1704465636391779,"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."}}