{"meta":{"query_hash":"7227b997edfb","filters":{"venue":"Chinese Journal of Applied Probability and Statisties"},"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/7227b997edfb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Chinese+Journal+of+Applied+Probability+and+Statisties"},"results":[{"id":"W2376804346","doi":"","title":"Simulated Analysis of Bivariate Extreme Mixed Model","year":2005,"lang":"en","type":"article","venue":"Chinese Journal of Applied Probability and Statisties","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Bivariate analysis; Copula (linguistics); Mathematics; Extreme value theory; Econometrics; Generalized extreme value distribution; Mixed model; Statistics; Marginal distribution; Joint probability distribution; Marginal model; Tail dependence; Multivariate statistics; Regression analysis; Random variable","score_opus":0.04811924174961143,"score_gpt":0.24008862001637982,"score_spread":0.19196937826676838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376804346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46693808,0.0004490648,0.5253103,0.0005867397,0.000075329706,0.000120442666,0.00075801264,0.00031355815,0.005448429],"genre_scores_gemma":[0.9479795,0.00015464693,0.048509747,0.00008083072,0.000028983346,0.00019490081,0.00086695014,0.000062393214,0.0021220713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981342,0.0011855391,0.000060706563,0.00022443649,0.00018446718,0.00021072681],"domain_scores_gemma":[0.98636395,0.010462105,0.00078019686,0.00085137464,0.0012153239,0.0003271056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038683966,0.0005622877,0.0009564269,0.0011516436,0.0006796764,0.0010424004,0.0010464257,0.0010168838,0.0036794334],"category_scores_gemma":[0.015632683,0.0003865777,0.0013480418,0.0010138183,0.0007999113,0.0013909778,0.0011314108,0.0013355063,0.00022450495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024644367,0.00007840442,0.011476599,0.000069547175,0.000115409704,0.0002007128,0.0001673896,0.9097485,0.0005988007,0.06738029,0.0011939157,0.008723936],"study_design_scores_gemma":[0.000010859539,0.000017771781,0.0007327142,0.0000075767857,0.0000110716755,0.000025707384,0.000027299317,0.99089885,0.00016082646,0.007844696,0.00025243754,0.000010104494],"about_ca_topic_score_codex":0.007296406,"about_ca_topic_score_gemma":0.0045840335,"teacher_disagreement_score":0.007296406,"about_ca_system_score_codex":0.0009604659,"about_ca_system_score_gemma":0.00077691796,"threshold_uncertainty_score":0.020458281},"labels":[],"label_agreement":null}]}