{"id":"W7100637229","doi":"","title":"University of Toronto Financial Econometrics, ECO4050 Course Outline","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Nonparametric statistics; Inference; Estimation; Term (time); Asset (computer security); Parametric statistics; Financial econometrics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001026772,0.001160431,0.0009992141,0.002267606,0.001144465,0.004476747,0.0009678482,0.001443537,0.4664364],"category_scores_gemma":[0.004092915,0.0005457646,0.0005840729,0.003088709,0.0005115111,0.001539375,0.001403037,0.001513598,0.191051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005365939,"about_ca_system_score_gemma":0.00561402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04541,"about_ca_topic_score_gemma":0.07711355,"domain_scores_codex":[0.9994998,0.00004501447,0.00002160656,0.00006568188,0.0002762688,0.00009164692],"domain_scores_gemma":[0.9972996,0.0003475238,0.0001011419,0.0002110465,0.00136716,0.0006734407],"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":[0.00001579025,0.00003356913,0.0004074192,0.00005318714,0.000002014824,0.00003043403,0.00002894235,0.0002628771,0.00007356251,0.006739615,0.9471676,0.04518504],"study_design_scores_gemma":[0.00001775776,0.00002885523,0.005697405,0.0002771231,0.000005956658,0.00006683631,0.0001361953,0.001257796,0.0001507144,0.01299657,0.9793509,0.00001382399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004190037,0.008358286,0.01017266,0.02826675,0.005854153,0.0002777657,0.02766693,0.002265257,0.9129482],"genre_scores_gemma":[0.0123394,0.005377105,0.003353141,0.0007025896,0.0009852933,0.0001277823,0.007668399,0.0004450065,0.9690012],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.95459,"threshold_uncertainty_score":0.7610638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293191994411176,"score_gpt":0.220099875200874,"score_spread":0.1471679552567623,"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."}}