{"meta":{"query_hash":"7f33bcdf3ab0","filters":{"venue":"IJAME"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7f33bcdf3ab0","api":"https://metacan.xera.ac/api/v1/cohort?venue=IJAME"},"results":[{"id":"W2187180630","doi":"","title":"Asymmetric Volatility Spillovers between U.S. and TSX Stock Markets","year":2018,"lang":"en","type":"article","venue":"IJAME","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Autoregressive conditional heteroskedasticity; Stock (firearms); Econometrics; Forward volatility; Volatility swap; Volatility risk premium; Financial economics; Stock market; Volatility smile; Implied volatility; Geography","score_opus":0.042643893951129205,"score_gpt":0.24500225254265942,"score_spread":0.20235835859153023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187180630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908612,0.00072626525,0.0012296169,0.00021455958,0.000009634903,0.000012722755,0.00029619163,0.000017488968,0.006632315],"genre_scores_gemma":[0.99906594,0.0002315879,0.00016642593,0.00001962622,0.000009323562,0.0000016164263,0.00017923224,0.0000012152525,0.000325131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964094,0.000048597067,0.00002209597,0.00006969,0.00013727757,0.00008147128],"domain_scores_gemma":[0.9989459,0.00029959955,0.00040786396,0.000082411956,0.00018886715,0.0000753529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007720285,0.00023865202,0.00027615053,0.0018185222,0.00043316858,0.001494441,0.0002083091,0.000334518,0.0014352088],"category_scores_gemma":[0.003034768,0.00012991086,0.00040913763,0.0017191103,0.00039660468,0.0010415214,0.00084504735,0.00040079482,0.000115643765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026051787,0.00011614349,0.8797895,0.00008759048,0.00033825738,0.0007818917,0.0013762614,0.022796642,0.0027816468,0.022946885,0.0018025268,0.06692214],"study_design_scores_gemma":[0.000014133387,0.00007033372,0.96103287,0.000052099476,0.00018560853,0.00022734943,0.0010831248,0.026903925,0.0013074226,0.006583021,0.002506289,0.000033734326],"about_ca_topic_score_codex":0.12925637,"about_ca_topic_score_gemma":0.14382315,"teacher_disagreement_score":0.87074363,"about_ca_system_score_codex":0.0016471023,"about_ca_system_score_gemma":0.001379314,"threshold_uncertainty_score":0.25700802},"labels":[],"label_agreement":null}]}