{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"4ebf2bf1f8ff","filters":{"venue":"Industrial Engineering and Engineering Management"}},"results":[{"id":"W2355950521","doi":"","title":"Selection for Multivariate Copula Based on Conditional Probability Integral Transformation","year":2012,"lang":"en","type":"article","venue":"Industrial Engineering and Engineering Management","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Copula (linguistics); Multivariate statistics; Econometrics; Bivariate analysis; Goodness of fit; Mathematics; Statistics; Stock market; Geography","authors":[{"name":"Yanju Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05613244068025619,"gpt":0.217570038431326,"spread":0.1614375977510698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00623037,0.0009926329,0.001621947,0.003239118,0.0008433066,0.001810988,0.00123639,0.0007663217,0.003256922],"category_scores_gemma":[0.03533572,0.0003866638,0.001880432,0.002297288,0.001271122,0.00234943,0.001504154,0.001540332,0.0006033001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483115,"about_ca_system_score_gemma":0.001661146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680935,"about_ca_topic_score_gemma":0.001171401,"domain_scores_codex":[0.9955259,0.001818262,0.0002081513,0.0006014574,0.001454913,0.0003912237],"domain_scores_gemma":[0.9855775,0.00968872,0.0008972821,0.0008400648,0.00260149,0.0003949697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000459717,0.0003476703,0.06621602,0.0005112083,0.000503731,0.00125,0.0008539921,0.3418037,0.01701552,0.1125398,0.007246394,0.4512523],"study_design_scores_gemma":[0.00002940811,0.00009327876,0.009120825,0.00002437005,0.00003896158,0.0002752288,0.00008930182,0.9734282,0.002732706,0.01314694,0.0009770021,0.00004375383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04331973,0.0001315196,0.9549212,0.00009079149,0.00002195977,0.00009672957,0.00007349659,0.0003347126,0.001009748],"genre_scores_gemma":[0.6933442,0.0004070566,0.3029111,0.0001062368,0.0001162034,0.0004900189,0.001031816,0.0003520717,0.001241318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00623037,"threshold_uncertainty_score":0.03294975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}