{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347265,0.001157366,0.0009803468,0.002031114,0.0006611455,0.001255931,0.0008012169,0.001096055,0.003693836],"category_scores_gemma":[0.002435443,0.0004754914,0.001388408,0.002545034,0.0008860278,0.001591276,0.001101622,0.001588956,0.001011177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008809768,"about_ca_system_score_gemma":0.001748129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003561888,"about_ca_topic_score_gemma":0.002787763,"domain_scores_codex":[0.9994054,0.000170752,0.00004789609,0.00007673477,0.0002613907,0.0000378513],"domain_scores_gemma":[0.99918,0.0004399399,0.00005105633,0.00004569939,0.0002553501,0.0000278668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005766569,0.00009663053,0.001117965,0.00192139,0.00007091701,0.0001338052,0.0002982937,0.1719274,0.004038346,0.4651438,0.01045098,0.3447426],"study_design_scores_gemma":[0.00001106585,0.00008372305,0.0005298025,0.000326075,0.00003181578,0.000218947,0.0001035076,0.7919133,0.002248927,0.1349706,0.06951118,0.00005110411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003546501,0.01236135,0.9674494,0.0003126189,0.0001616206,0.00003816086,0.00009527301,0.0001434717,0.01589155],"genre_scores_gemma":[0.173266,0.05835212,0.7414531,0.0007058893,0.001181323,0.0004817946,0.0007555239,0.0007047219,0.02309957],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003693836,"threshold_uncertainty_score":0.01235718,"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."}}