{"id":"W307017053","doi":"10.21236/ada444692","title":"Nonlinear Programming by Mesh Adaptive Direct Searches","year":2005,"lang":"en","type":"report","venue":"","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Nonlinear system; Computer science; Adaptive mesh refinement; Nonlinear programming; Mathematical optimization; Algorithm; Computational science; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006190107,0.0006010423,0.0006310407,0.0006647178,0.0002451656,0.0008831683,0.0007039731,0.0007423911,0.005611888],"category_scores_gemma":[0.002932129,0.0003712438,0.0005372362,0.0005415843,0.000733997,0.0005808846,0.001425507,0.0008539618,0.0009066456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005604073,"about_ca_system_score_gemma":0.000595093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016301,"about_ca_topic_score_gemma":0.002026737,"domain_scores_codex":[0.999665,0.0001627369,0.000009710762,0.00003564775,0.0001093762,0.00001757711],"domain_scores_gemma":[0.9995102,0.0003392497,0.00003484674,0.00003210945,0.00006461197,0.00001907915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006162917,0.00003792441,0.0004058637,0.0002389983,0.00005946534,0.00009349894,0.00006384058,0.7298309,0.001767945,0.1712696,0.00626938,0.08990096],"study_design_scores_gemma":[0.0000140832,0.00001671296,0.00005422178,0.00002024154,0.000003264402,0.00001550854,0.000005959878,0.9670736,0.0002011512,0.02923212,0.003359172,0.000003933207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005362128,0.0008346167,0.9746746,0.0003182519,0.00009403059,0.00007690906,0.00005639283,0.0001302551,0.01845286],"genre_scores_gemma":[0.3138809,0.001600815,0.6495882,0.000491981,0.000250623,0.00101995,0.0002506034,0.0002606162,0.03265629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005611888,"threshold_uncertainty_score":0.01877367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461523885148201,"score_gpt":0.4242637269838348,"score_spread":0.2781113384690147,"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."}}