{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"3f2d97c0ad7e","filters":{"venue":"Pacific Journal of Optimization"}},"results":[{"id":"W2469729643","doi":"","title":"A survey on SOC complementarity functions and solution methods for SOCPs and SOCCPs","year":2012,"lang":"en","type":"article","venue":"Pacific Journal of Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Complementarity (molecular biology); Smoothing; Mathematical optimization; Complementarity theory; Residual; Mathematics; Regular polygon; Applied mathematics; Computer science; Mixed complementarity problem; Convex function; Algorithm; Statistics; Geometry","authors":[{"name":"Jein-Shan Chen","is_ca":true},{"name":"Shaohua Pan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1889772870255407,"gpt":0.4656161804154899,"spread":0.2766388933899492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003324022,0.000126691,0.0002507709,0.0001992584,0.0002860982,0.00005726679,0.00005975717,0.00007325873,0.00007091813],"category_scores_gemma":[0.001565466,0.0001143044,0.00004986721,0.0001831611,0.00008008127,0.0004520885,0.0000363494,0.0001879675,7.81556e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105447,"about_ca_system_score_gemma":0.00004295964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004321455,"about_ca_topic_score_gemma":0.000003801266,"domain_scores_codex":[0.9985465,0.0004138182,0.0004435684,0.0001232211,0.0002164247,0.0002564346],"domain_scores_gemma":[0.9973817,0.001414235,0.0003833214,0.0001100179,0.0005509447,0.00015978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003569352,0.004957316,0.06835394,0.001051557,0.001816928,0.000003856309,0.0134699,0.3666011,0.001991889,0.04548973,0.05470362,0.4379908],"study_design_scores_gemma":[0.004344461,0.0008553328,0.007406524,0.00009914052,0.0002242779,0.0001029912,0.002515279,0.9675485,0.0004847119,0.01291696,0.002991592,0.0005101959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008513097,0.0002846308,0.9977195,0.0002940224,0.000233111,0.0003347206,0.00003896171,0.00001524604,0.000228512],"genre_scores_gemma":[0.04016823,0.000298947,0.9590173,0.00002042748,0.0001303918,0.00001181305,0.00005266284,0.00002799382,0.0002722611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6009474,"threshold_uncertainty_score":0.46612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W203977640","doi":"","title":"A proximal-like algorithm for a class of nonconvex programming","year":2008,"lang":"en","type":"article","venue":"Pacific Journal of Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bounded function; Sequence (biology); Mathematics; Function (biology); Solution set; Regular polygon; Algorithm; Convex function; Zero (linguistics); Homogeneous; Combinatorics; Class (philosophy); Set (abstract data type); Computer science; Mathematical analysis","authors":[{"name":"Jein-Shan Chen","is_ca":true},{"name":"Shaohua Pan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01733420757057855,"gpt":0.2407322266388623,"spread":0.2233980190682837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004370049,0.0001010308,0.0002533384,0.000308223,0.0001180603,0.00005017808,0.0003139085,0.00005693099,0.00001886805],"category_scores_gemma":[0.00008179318,0.00008760206,0.0001812366,0.0006902261,0.00003924131,0.0006598718,0.00002951269,0.00007603547,0.000001089979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261669,"about_ca_system_score_gemma":0.0002023717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001384893,"about_ca_topic_score_gemma":1.489207e-7,"domain_scores_codex":[0.9986733,0.00005287612,0.0006116623,0.0001459491,0.0003731974,0.0001430501],"domain_scores_gemma":[0.9976197,0.00008375374,0.0007885885,0.0001552946,0.001272879,0.00007974776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003007037,0.0003826774,0.0006122199,0.00003050121,0.0001802635,0.000009602017,0.001663487,0.9366908,0.00007660133,0.003765488,0.0006990533,0.05585922],"study_design_scores_gemma":[0.0007035449,0.0001922937,0.00006973808,0.00001944798,0.00003168968,0.00008910112,0.00008775489,0.9968995,0.0001890443,0.0001268397,0.001497531,0.00009349837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007962516,0.000082842,0.9986385,0.0004732084,0.0002192066,0.0001807188,0.000002835768,0.00001907874,0.0003040518],"genre_scores_gemma":[0.04978442,0.0001135313,0.9497397,0.00003975704,0.00008352426,0.000008563742,0.000009635871,0.000008960686,0.0002118947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0602087,"threshold_uncertainty_score":0.3572308,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3017255278","doi":"","title":"Complementarity Formulations of ℓ0-norm Optimization","year":2018,"lang":"en","type":"article","venue":"Pacific Journal of Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Complementarity (molecular biology); Mathematics; Norm (philosophy); Mathematical economics; Mathematical optimization; Computer science; Epistemology; Philosophy","authors":[{"name":"Mingbin Feng","is_ca":false},{"name":"John J. Mitchell","is_ca":true},{"name":"Jong Shi Pang","is_ca":false},{"name":"Xin Shen","is_ca":false},{"name":"Andreas Wäechter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07554202120277777,"gpt":0.385932156552904,"spread":0.3103901353501262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008629741,0.0001689908,0.0003713855,0.0004856884,0.0002038823,0.00004646745,0.0002715891,0.00009416186,0.001541637],"category_scores_gemma":[0.0009327855,0.0001580955,0.0001228918,0.0007862923,0.0001867952,0.0007780638,0.00006295539,0.0001978603,0.000004860806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619338,"about_ca_system_score_gemma":0.0001509538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003920537,"about_ca_topic_score_gemma":0.000004133261,"domain_scores_codex":[0.9975608,0.0001338682,0.001169918,0.0001615863,0.0007181566,0.0002556801],"domain_scores_gemma":[0.9952617,0.0002880783,0.001203762,0.0002936769,0.002824804,0.0001279743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001032567,0.0002435569,0.0005829063,0.00004133252,0.00007570645,0.000001787342,0.0007435141,0.9887788,0.00008634554,0.007276131,0.001038627,0.001027995],"study_design_scores_gemma":[0.001402278,0.0004143035,0.00006552312,0.0000841003,0.00007350988,0.00004960629,0.0007271247,0.985469,0.001513055,0.009620891,0.0003966147,0.0001839984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007964291,0.0000332282,0.9922915,0.0002221831,0.0002573493,0.0003056101,0.00001892914,0.00002871291,0.006046105],"genre_scores_gemma":[0.135089,0.0001210084,0.8643149,0.00001389103,0.0001962992,0.00000361958,0.0000375578,0.00003566237,0.0001880696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1342926,"threshold_uncertainty_score":0.9993711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2525170832","doi":"","title":"The Hölder continuity of vector-valued function associated with second-order cone","year":2012,"lang":"en","type":"article","venue":"Pacific Journal of Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cone (formal languages); Mathematics; Order (exchange); Hölder condition; Function (biology); Mathematical analysis; Pure mathematics; Algorithm; Economics","authors":[{"name":"Yu-Lin Chang","is_ca":true},{"name":"Jein-Shan Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009868538411799632,"gpt":0.214786270255724,"spread":0.2049177318439244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183611,0.000103311,0.0002084743,0.0001321233,0.0001773061,0.0001028406,0.0002415476,0.00005841121,0.0001384014],"category_scores_gemma":[0.0002877005,0.00006582906,0.00008108311,0.00083913,0.00005019372,0.0009193092,0.00002706069,0.00012532,0.000002682459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005764352,"about_ca_system_score_gemma":0.0001057964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000171279,"about_ca_topic_score_gemma":0.000003227775,"domain_scores_codex":[0.9985672,0.0002084402,0.0004912126,0.00009365466,0.0004637999,0.0001757539],"domain_scores_gemma":[0.9970106,0.0002035933,0.001018819,0.000177216,0.001505693,0.00008405664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001855795,0.0005021249,0.01774666,0.00001210543,0.0008702671,0.000001257094,0.001891296,0.9146325,0.0003667493,0.06038764,0.001769648,0.001634175],"study_design_scores_gemma":[0.001894817,0.0003250816,0.03352746,0.00005419733,0.0002303037,0.00003225006,0.0004272903,0.9611204,0.000375742,0.0003345477,0.001430221,0.0002476992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001960429,0.0002129399,0.9949232,0.0004879198,0.0003831784,0.00007985561,0.000002186636,0.000016808,0.001933514],"genre_scores_gemma":[0.9636791,0.00003607185,0.03557933,0.00004729179,0.00007563508,0.000001812201,0.00001018791,0.000008044392,0.0005624649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9617187,"threshold_uncertainty_score":0.2684431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}