{"id":"W4410904053","doi":"10.21203/rs.3.rs-6657064/v1","title":"Benchmarking constrained, multi-objective and surrogate-assisted derivative-free optimization methods","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Polytechnique Montréal","funders":"","keywords":"Benchmarking; Derivative (finance); Computer science; Mathematical optimization; Mathematics; Economics","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":[0.007718077,0.001789591,0.00225441,0.001845567,0.0007636168,0.002212725,0.002525359,0.003766926,0.005097395],"category_scores_gemma":[0.01885752,0.0005927418,0.001377702,0.002564736,0.001293042,0.00208037,0.002094226,0.002157965,0.0008177661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201214,"about_ca_system_score_gemma":0.002018996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037048,"about_ca_topic_score_gemma":0.003177628,"domain_scores_codex":[0.9956729,0.002134651,0.0002240623,0.0003842913,0.001367324,0.0002166878],"domain_scores_gemma":[0.9906653,0.005309275,0.0003888429,0.001647797,0.001694872,0.0002938591],"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":[0.0003685992,0.0002102327,0.0005940127,0.000340282,0.0001103152,0.00004892279,0.00002793128,0.9527801,0.001446348,0.008686179,0.00226517,0.03312194],"study_design_scores_gemma":[0.00002021574,0.00004977705,0.0001943156,0.00001923587,0.000007984077,0.00001301024,0.000005939274,0.9965466,0.0009174721,0.001782392,0.0004355221,0.000007583707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1437919,0.002865795,0.8264671,0.000784234,0.0005681435,0.0002254326,0.001076006,0.002061078,0.02216029],"genre_scores_gemma":[0.6809189,0.0004739799,0.3123138,0.0002197588,0.00008229168,0.0002822898,0.001465623,0.0007676444,0.003475783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007718077,"threshold_uncertainty_score":0.04081756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08449971043528098,"score_gpt":0.4434999385404259,"score_spread":0.3590002281051449,"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."}}