{"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,"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","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"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"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889772870255407,"score_gpt":0.4656161804154899,"score_spread":0.2766388933899492,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}