{"id":"W2987410708","doi":"10.1007/s11590-019-01497-8","title":"Monotonic grey box direct search optimization","year":2019,"lang":"en","type":"article","venue":"Optimization Letters","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); Giro (Canada); Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Monotonic function; Mathematical optimization; Computer science; Optimization problem; Computational intelligence; Function (biology); Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009811695,0.0006818846,0.001088464,0.0004454748,0.0003250532,0.001385357,0.001019915,0.0015656,0.01409478],"category_scores_gemma":[0.003155978,0.0004634846,0.0003902492,0.0006561924,0.0009778892,0.001018423,0.001339654,0.00110882,0.002359733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741304,"about_ca_system_score_gemma":0.0006942356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006869478,"about_ca_topic_score_gemma":0.0007340508,"domain_scores_codex":[0.9997126,0.0001335858,0.000009565892,0.00003701043,0.00008969008,0.00001750004],"domain_scores_gemma":[0.9993966,0.000383964,0.00004039675,0.00006451431,0.00008925154,0.00002534448],"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":[0.0001612044,0.00006704819,0.0002094942,0.000414288,0.0000685595,0.0001223049,0.00006032741,0.6741316,0.003280252,0.2343259,0.007640531,0.0795186],"study_design_scores_gemma":[0.00002645035,0.00003075307,0.00004851088,0.00002295908,0.000008451798,0.00002297077,0.000005487022,0.9761478,0.0005606546,0.02036889,0.002751382,0.000005757675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01224862,0.001397434,0.9077867,0.0005912645,0.0003134354,0.0001118064,0.0001305746,0.000319278,0.07710084],"genre_scores_gemma":[0.4492315,0.001352511,0.465322,0.0006176044,0.0002242541,0.0006017605,0.000260973,0.0004771733,0.08191229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01409478,"threshold_uncertainty_score":0.04715168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235815472153258,"score_gpt":0.2486252273083808,"score_spread":0.2362670725868483,"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."}}