{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657849,0.0003297195,0.002182335,0.0002543367,0.0003250534,0.00005828132,0.0004308021,0.0001923598,0.00001015641],"category_scores_gemma":[0.001808357,0.0002267371,0.0005262987,0.0003173895,0.0001533252,0.0002309114,0.00009319187,0.0004109832,0.000001781635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574511,"about_ca_system_score_gemma":0.0005015912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004319738,"about_ca_topic_score_gemma":0.003639125,"domain_scores_codex":[0.9976803,0.0001058497,0.001549033,0.0002676056,0.0001188388,0.0002783621],"domain_scores_gemma":[0.9958873,0.0001270757,0.003182608,0.0002887815,0.0003562724,0.000157942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005180029,0.0002365389,0.004919686,0.07817046,0.00338752,0.00002410058,0.003109318,0.000003554333,0.000005099309,0.08073863,0.02123812,0.8081152],"study_design_scores_gemma":[0.0002130069,0.0001089144,0.001501503,0.01874274,0.0002375877,0.00004251448,0.000213538,0.000001850444,0.000002477192,0.001128506,0.9775667,0.0002406507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006774091,0.9958203,0.00001521238,0.001601115,0.0004505739,0.0006055995,0.0001954882,0.000005710023,0.0006285559],"genre_scores_gemma":[0.003607479,0.9951081,0.0004794761,0.0003258299,0.000249944,0.00002768587,0.000008386371,0.00003492741,0.0001581675],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9563286,"threshold_uncertainty_score":0.9246071,"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."}}