{"id":"W2519344319","doi":"","title":"Dynamic scaling in the Mesh Adaptive Direct Search algorithm for blackbox optimization","year":2014,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Computer science; Convergence (economics); Mathematical optimization; Class (philosophy); Algorithm; Artificial intelligence; Mathematics","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":[0.001254493,0.0002484878,0.0002553012,0.0003361465,0.0001590747,0.0001665751,0.0003652557,0.0002021257,0.00001636074],"category_scores_gemma":[0.00008904811,0.0002225151,0.0001034759,0.0005932602,0.00004473552,0.0002077479,0.00003848556,0.0003158333,0.000005828518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496615,"about_ca_system_score_gemma":0.00003984724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065892,"about_ca_topic_score_gemma":0.0004373188,"domain_scores_codex":[0.9984379,0.0001665173,0.0003483413,0.0002726045,0.0002421728,0.0005324233],"domain_scores_gemma":[0.9990578,0.0002875399,0.00005459384,0.0004148772,0.00008921326,0.00009601537],"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":[0.00001053135,0.00003615709,0.000173048,0.00002543505,0.00001781182,0.000001536113,0.0005295946,0.9591308,0.00008118978,0.001893366,0.000323403,0.0377771],"study_design_scores_gemma":[0.0004319803,0.00006599766,0.0004583915,0.00005003665,0.00001553946,0.00001003527,0.0001405916,0.9970363,0.0005139546,0.000310414,0.0007041053,0.0002626139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001063344,0.0002724905,0.9945603,0.0005465233,0.000118911,0.0009786864,0.00003631219,0.000660705,0.001762728],"genre_scores_gemma":[0.475407,0.000204921,0.5229853,0.0004889616,0.0000649607,0.0005255084,0.00007878988,0.00008843286,0.0001560916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4743437,"threshold_uncertainty_score":0.9073902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00979682331321541,"score_gpt":0.2256665740124869,"score_spread":0.2158697506992714,"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."}}