{"meta":{"query_hash":"cfdc94214fd1","filters":{"venue":"数学学报(英文版)"},"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/cfdc94214fd1","api":"https://metacan.xera.ac/api/v1/cohort?venue=%E6%95%B0%E5%AD%A6%E5%AD%A6%E6%8A%A5%28%E8%8B%B1%E6%96%87%E7%89%88%29"},"results":[{"id":"W3139627051","doi":"","title":"The Global Convergence of Self-Scaling BFGS Algorithm with Nonmonotone Line Search for Unconstrained Nonconvex Optimization Problems","year":2007,"lang":"en","type":"article","venue":"数学学报(英文版)","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Broyden–Fletcher–Goldfarb–Shanno algorithm; Hessian matrix; Quasi-Newton method; Line search; Mathematical optimization; Mathematics; Convergence (economics); Scaling; Optimization problem; Hessian equation; Applied mathematics; Nonlinear system; Computer science; Newton's method; Mathematical analysis","score_opus":0.011453103442081908,"score_gpt":0.24333729412337254,"score_spread":0.23188419068129063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139627051","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":[0.013801026,0.00013062786,0.98361164,0.0001285156,0.000021282762,0.00003879938,0.000010213587,0.00010818313,0.0021496674],"genre_scores_gemma":[0.43689507,0.0003442091,0.5571394,0.00021709339,0.000047306527,0.00037971378,0.000101657526,0.000169887,0.004705636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932265,0.00029663267,0.00003139159,0.000069153735,0.00024006105,0.000040055264],"domain_scores_gemma":[0.99800426,0.0012928041,0.00019780824,0.00013762922,0.00031055626,0.00005696448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019812228,0.0008551258,0.0008295769,0.00066966185,0.0004710392,0.00065499183,0.00080432574,0.001384705,0.0018389804],"category_scores_gemma":[0.006454306,0.00041365315,0.00049265946,0.00056399434,0.0014594627,0.0011065097,0.00093844417,0.00077378924,0.00032484223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098368895,0.000064329004,0.000756975,0.00015817712,0.00005024848,0.00011182911,0.00017641846,0.8824791,0.00413563,0.06303756,0.0012666878,0.047664754],"study_design_scores_gemma":[0.000007650794,0.000015102414,0.0000489624,0.000005183767,0.0000014854078,0.000011676253,0.000004967128,0.99549425,0.00033696115,0.0038282224,0.00024293119,0.0000026777097],"about_ca_topic_score_codex":0.0026477189,"about_ca_topic_score_gemma":0.0023014916,"teacher_disagreement_score":0.0026477189,"about_ca_system_score_codex":0.000525883,"about_ca_system_score_gemma":0.0010884337,"threshold_uncertainty_score":0.010477841},"labels":[],"label_agreement":null}]}