{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007864032,0.0002948583,0.000331317,0.0005787616,0.000217508,0.0007178367,0.001296319,0.0001225393,0.001589001],"category_scores_gemma":[0.0001864133,0.000304338,0.0001125427,0.001739847,0.00007206349,0.001545363,0.0003777392,0.000286767,0.0006798331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939917,"about_ca_system_score_gemma":0.0001642806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002346938,"about_ca_topic_score_gemma":4.56873e-7,"domain_scores_codex":[0.9965092,0.000373391,0.0005056543,0.0009075853,0.001054539,0.0006496135],"domain_scores_gemma":[0.9977248,0.0002083468,0.0001658258,0.001222483,0.0004370586,0.0002415402],"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":[0.000009046346,0.0000517739,0.0003140022,0.00001954658,0.00002810569,0.000008128468,0.0001500123,0.995142,0.0002025886,0.001123997,0.001704736,0.001246089],"study_design_scores_gemma":[0.0006782865,0.00005266308,0.0000789452,0.00001872004,0.000007304215,0.000009903092,0.00001320466,0.9971598,0.0006137961,0.000006920682,0.001018815,0.0003416669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004204584,0.00004832531,0.9811444,0.005052305,0.0006492853,0.0008143509,0.000005658975,0.0004285421,0.01143671],"genre_scores_gemma":[0.0156625,0.0001610838,0.9787436,0.002336695,0.0001006486,0.00005964938,0.00008933888,0.0000659609,0.002780568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01524204,"threshold_uncertainty_score":0.9999409,"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."}}