{"id":"W1263475093","doi":"","title":"LQP based interior prediction-correction method for nonlinear complementarity problems","year":2006,"lang":"en","type":"article","venue":"Journal of Computational Mathematics","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Complementarity (molecular biology); Nonlinear system; Convergence (economics); Mathematics; Mathematical optimization; Computer science; Economics; Physics","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":[0.001300655,0.0001765848,0.0004070864,0.0003076053,0.0001593557,0.00007719966,0.0002140658,0.0000692528,0.0001227982],"category_scores_gemma":[0.0007259918,0.0001575347,0.0002129957,0.0002696254,0.00004764512,0.0002459889,0.00003306563,0.0002431041,0.000004023524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184358,"about_ca_system_score_gemma":0.0002138672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004533792,"about_ca_topic_score_gemma":0.000009009092,"domain_scores_codex":[0.9974834,0.00009198258,0.001291262,0.0001447899,0.0007758564,0.0002127392],"domain_scores_gemma":[0.9944675,0.002611208,0.00101676,0.0001339674,0.001690293,0.00008029021],"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":[0.00008799128,0.001043849,0.0001158334,0.0005521296,0.0001271938,0.000003863324,0.0002918278,0.964509,0.0001943261,0.01420469,0.01588072,0.00298863],"study_design_scores_gemma":[0.001141398,0.0001901158,0.00005053845,0.0001237033,0.00004875129,0.00007749322,0.00009429973,0.6954629,0.0003621839,0.3006244,0.001731491,0.00009270294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001603733,0.00001596862,0.99651,0.0004879419,0.000423586,0.0006001219,0.0001008204,0.00004590938,0.0002118978],"genre_scores_gemma":[0.003209319,0.000001644823,0.9958887,0.00006029936,0.0003792458,0.00002894259,0.00007482367,0.00004339407,0.000313616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2864197,"threshold_uncertainty_score":0.6424078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05390316261298996,"score_gpt":0.3905185049449124,"score_spread":0.3366153423319225,"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."}}