{"id":"W1993863961","doi":"10.1007/s11228-008-0095-7","title":"Partial Exact Penalty for Mathematical Programs with Equilibrium Constraints","year":2008,"lang":"en","type":"article","venue":"Set-Valued Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Victoria","funders":"","keywords":"Penalty method; Constraint (computer-aided design); Stationary point; Mathematical optimization; Mathematics; Complementarity (molecular biology); Complementarity theory; Simple (philosophy); Smoothing; Mixed complementarity problem; Nonlinear programming; Function (biology); Applied mathematics; Nonlinear system; Mathematical economics; Mathematical analysis; Statistics","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":[0.0003881679,0.0002014637,0.0004660787,0.0003145383,0.0002321848,0.0001662056,0.0005100525,0.00006810703,0.0003731589],"category_scores_gemma":[0.0000741564,0.0001512617,0.0004273456,0.002346506,0.0001774631,0.0003712338,0.0000784678,0.00008126671,0.00005881631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003860327,"about_ca_system_score_gemma":0.0001548095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732765,"about_ca_topic_score_gemma":0.00001081837,"domain_scores_codex":[0.9980231,0.00009363777,0.0004128048,0.000536258,0.0005719625,0.0003622555],"domain_scores_gemma":[0.9986338,0.0001121944,0.0001967373,0.0005339264,0.0003235592,0.0001997976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002857535,0.002784307,0.05083963,0.0001863783,0.02320226,0.0001683226,0.006739204,0.2296408,0.0003350077,0.666859,0.002407929,0.01655139],"study_design_scores_gemma":[0.0005597917,0.0001018688,0.001027016,0.000006605601,0.0009274966,0.00002097278,0.00004553487,0.9951718,0.000138067,0.00152784,0.0002207187,0.0002523307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01210568,0.00001145712,0.9855393,0.000852574,0.00002578577,0.0002445253,0.00001560488,0.0001571788,0.00104787],"genre_scores_gemma":[0.7848179,0.000002835431,0.214006,0.0001949657,0.00006068925,0.0000621134,0.0001469001,0.0000107542,0.0006978147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7727122,"threshold_uncertainty_score":0.6168274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807651040896165,"score_gpt":0.2775432797734925,"score_spread":0.2394667693645308,"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."}}