{"id":"W4319083910","doi":"10.3390/a16020084","title":"About the Performance of a Calculus-Based Approach to Building Model Functions in a Derivative-Free Trust-Region Algorithm","year":2023,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calculus (dental); Computer science; Algorithm; Function (biology); Derivative (finance); Situation calculus; Mathematics; Mathematical optimization; 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":[0.01238372,0.001251069,0.001381867,0.001093843,0.001353235,0.002900636,0.001346399,0.002033169,0.003341468],"category_scores_gemma":[0.05951739,0.0005650577,0.0013586,0.0008669164,0.002631173,0.004328201,0.002021238,0.003898457,0.0005409853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873187,"about_ca_system_score_gemma":0.003419901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008918937,"about_ca_topic_score_gemma":0.003343929,"domain_scores_codex":[0.9945672,0.002451914,0.0002461835,0.0006879371,0.001624503,0.0004223342],"domain_scores_gemma":[0.9611819,0.03279958,0.0008476984,0.002224643,0.002423786,0.00052248],"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":[0.0005200803,0.000109084,0.001310724,0.0002080917,0.0001187644,0.0001065596,0.0002696397,0.8436583,0.00338075,0.08923595,0.001167146,0.05991491],"study_design_scores_gemma":[0.00001492813,0.00006041526,0.0001336161,0.00001623928,0.00002074593,0.00002556492,0.00002054299,0.9813477,0.001623682,0.01635046,0.0003705785,0.00001558255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02172183,0.0005283473,0.9734655,0.0003780281,0.00008472321,0.00005254036,0.00001801778,0.000339551,0.003411545],"genre_scores_gemma":[0.6081971,0.0008377951,0.3873155,0.0002747733,0.000129549,0.0001224187,0.00009999474,0.0004930619,0.002529858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01238372,"threshold_uncertainty_score":0.06549215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08335352694491616,"score_gpt":0.3509549059097146,"score_spread":0.2676013789647985,"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."}}