{"id":"W2281601326","doi":"","title":"Getting Our Act Together: A Review of the Canadian Derivatives Regulatory Landscape and an Argument for a Dedicated Derivatives Regime","year":2010,"lang":"en","type":"review","venue":"Dalhousie journal of legal studies","topic":"Global Financial Regulation and Crises","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Ambiguity; Argument (complex analysis); Scope (computer science); Derivatives market; Law and economics; Enforcement; Business; Guardian; Political science; Industrial organization; Public economics; Economics; Law; Computer science; Finance; Futures contract","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01148705,0.001071034,0.0008635276,0.01036825,0.01564129,0.01507895,0.005045295,0.007160656,0.005461027],"category_scores_gemma":[0.02297027,0.0009296749,0.001061122,0.01725358,0.01605866,0.005451826,0.002157166,0.00872627,0.001083394],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.172163,"about_ca_system_score_gemma":0.3252905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793406,"about_ca_topic_score_gemma":0.9840183,"domain_scores_codex":[0.9806786,0.001554195,0.0007888714,0.001280656,0.01309551,0.002602218],"domain_scores_gemma":[0.976222,0.004205063,0.0008379032,0.0004950918,0.01672076,0.001519273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003617907,0.00004735961,0.00165098,0.002424222,0.00003682339,0.0005549823,0.003609399,0.001723845,0.0004287378,0.3976684,0.4235034,0.1683158],"study_design_scores_gemma":[0.000003745143,0.000008859265,0.001883981,0.001440361,0.00001612073,0.000128924,0.0008169499,0.0001975058,0.000143826,0.004159737,0.9911433,0.00005678991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003152251,0.6870301,0.002626914,0.1558224,0.006729172,0.00008417627,0.0004169582,0.0001323714,0.1440056],"genre_scores_gemma":[0.08893213,0.7957219,0.004535222,0.06457746,0.002792322,0.00006258971,0.0003982071,0.0001772371,0.04280284],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.172163,"threshold_uncertainty_score":0.9601735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0710882603641722,"score_gpt":0.3331007918230887,"score_spread":0.2620125314589165,"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."}}