{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015423,0.0005540333,0.000904019,0.0003134876,0.0001750435,0.0001336438,0.0005229537,0.0005550748,0.002311948],"category_scores_gemma":[0.00314449,0.0004782626,0.0002608643,0.0005303565,0.0001945526,0.0002090786,0.0003491112,0.001165363,0.0001734602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009670208,"about_ca_system_score_gemma":0.001568691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265761,"about_ca_topic_score_gemma":0.00008428288,"domain_scores_codex":[0.9945559,0.0001678652,0.0007669819,0.0008194328,0.002814384,0.0008754348],"domain_scores_gemma":[0.9959094,0.0009191644,0.0003704575,0.0007638863,0.001724111,0.0003130171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004918676,0.0009811164,0.00001834069,0.0007028282,0.0007006103,0.00008321853,0.0002724367,0.0001349337,0.00001536752,0.0005227301,0.4549619,0.5415574],"study_design_scores_gemma":[0.0003742964,0.0001597542,0.000001060651,0.0002216744,0.00007896767,0.00004032769,0.0002383535,0.01564573,0.0008143185,0.0005317972,0.9811214,0.0007723357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000008431918,0.001746502,0.2072767,0.000354126,0.000278686,0.002598288,0.0003890206,0.001069778,0.7862784],"genre_scores_gemma":[0.00002541698,0.002348672,0.6548859,0.000020053,0.0006576684,0.0001995418,0.0002786876,0.0002098227,0.3413742],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.540785,"threshold_uncertainty_score":0.9997669,"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."}}