{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003784357,0.0001044832,0.0002443614,0.0001750856,0.00007678856,0.00003951236,0.00008151223,0.00006389908,0.0002509164],"category_scores_gemma":[0.00008326285,0.000118318,0.00002784923,0.0002594449,0.0000504846,0.0003195989,0.00005248433,0.00007538705,0.00005497776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002667759,"about_ca_system_score_gemma":0.00001024051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005015113,"about_ca_topic_score_gemma":0.0003202257,"domain_scores_codex":[0.9990558,0.00000956348,0.0004876525,0.0002040362,0.00003490597,0.0002080428],"domain_scores_gemma":[0.9995297,0.00003488854,0.0002076579,0.0001456397,0.00004819912,0.00003397042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000228224,0.00005805499,0.6380126,0.00007480687,0.00002603746,0.000001094489,0.00149948,0.0006841841,0.00000849119,0.3368573,0.0007410909,0.02201398],"study_design_scores_gemma":[0.0007286236,0.00006178713,0.8921776,0.00003394586,0.0000048838,4.148423e-7,0.0004958681,0.03279896,0.0005934486,0.01327574,0.05956184,0.0002668396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464086,0.001008268,0.004400704,0.0003108566,0.000100198,0.0001580603,0.000034947,0.00002421697,0.04755412],"genre_scores_gemma":[0.9974507,0.0004730845,0.0003717041,0.0002369688,0.00009178819,0.00001406034,0.000008090323,0.00001148357,0.001342085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3235816,"threshold_uncertainty_score":0.4824867,"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."}}