{"id":"W2184313206","doi":"","title":"FLOATING MARGIN RATES S&P/TSX 60 BASKET OF INDEX SECURITIES AND INDEX PARTICIPATION UNITS","year":2005,"lang":"en","type":"article","venue":"","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Margin (machine learning); Volatility (finance); Floating interest rate; Capitalization-weighted index; Economics; Econometrics; Stock market index; Interest rate; Monetary economics; Computer science; History","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":[0.005870944,0.0009056022,0.0005390615,0.004517654,0.001461354,0.006596283,0.001428442,0.001173427,0.02292456],"category_scores_gemma":[0.0256103,0.0006153895,0.0007241654,0.00335936,0.0009481732,0.002397812,0.001461369,0.002183429,0.015151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701604,"about_ca_system_score_gemma":0.004761344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632,"about_ca_topic_score_gemma":0.006820062,"domain_scores_codex":[0.9886857,0.0009800653,0.001115474,0.000928758,0.007712039,0.0005779419],"domain_scores_gemma":[0.9850499,0.001273039,0.003361698,0.002713611,0.006968923,0.0006328537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001621272,0.0002427808,0.01943138,0.0003682549,0.00007705325,0.0004635738,0.0008940346,0.005769731,0.01501015,0.3532974,0.2941531,0.3086713],"study_design_scores_gemma":[0.0002717663,0.0006524933,0.06455986,0.000290799,0.00008165884,0.0007409876,0.0002155827,0.0122647,0.01996527,0.04645653,0.854198,0.000302305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1240019,0.003937812,0.1434948,0.003701403,0.003702384,0.003871933,0.05750471,0.009444047,0.6503411],"genre_scores_gemma":[0.5601396,0.003293825,0.1278977,0.001036419,0.003771512,0.003712865,0.05608436,0.002311486,0.2417523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02292456,"threshold_uncertainty_score":0.07669032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040527733882833,"score_gpt":0.2336905336340993,"score_spread":0.2032852562952709,"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."}}