{"id":"W4366193823","doi":"10.3390/math11081890","title":"Editorial for the Special Issue “Advances in Machine Learning and Mathematical Modeling for Optimization Problems”","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; De facto; Artificial intelligence; Deep learning; Range (aeronautics); Image processing; Machine learning; Image (mathematics); Engineering","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":[0.001625739,0.0001203305,0.0002086724,0.0001445718,0.0002259229,0.0002407123,0.0003792346,0.00006421606,0.00004919777],"category_scores_gemma":[0.002054212,0.00008781885,0.00003979256,0.0004537926,0.00003382876,0.0002695184,0.000176391,0.0001363753,0.00002439216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002373217,"about_ca_system_score_gemma":0.00003616646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.91525e-7,"about_ca_topic_score_gemma":0.00000186955,"domain_scores_codex":[0.9986688,0.00003951634,0.0003786355,0.0002468638,0.0003816335,0.0002845235],"domain_scores_gemma":[0.9978683,0.001614402,0.00008983559,0.0002038922,0.0001750836,0.00004847386],"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":[0.0000071603,0.00003759808,0.000001816472,0.0003269958,0.000006793048,2.682493e-7,0.000997379,0.9732997,0.000002256049,0.01567705,0.002549727,0.007093211],"study_design_scores_gemma":[0.0004659293,0.00005395573,7.467028e-8,0.00003660392,0.000006967588,0.000001407766,0.00009328936,0.9352609,0.000006130494,0.03695731,0.02702277,0.0000946712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005637482,0.00009080637,0.9948004,0.0006920308,0.002808001,0.00112004,0.000006278529,0.0001022251,0.0003745348],"genre_scores_gemma":[0.00006513704,0.000431337,0.9811974,0.00001115328,0.01641273,0.000432767,0.00001520471,0.00003089606,0.00140334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03803885,"threshold_uncertainty_score":0.3581149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440307120231902,"score_gpt":0.3257775433512778,"score_spread":0.2913744721489588,"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."}}