{"id":"W2787282612","doi":"10.1109/ssci.2017.8280800","title":"A sugeno-based search width decay schedule in the ACO&lt;inf&gt;R&lt;/inf&gt; algorithm","year":2017,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Parameterized complexity; Ant colony optimization algorithms; Algorithm; Computer science; Artificial intelligence; Schedule; Mathematics","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004932109,0.0003971977,0.0004548211,0.0005348054,0.001110998,0.0025685,0.007389896,0.0001976275,0.0006871411],"category_scores_gemma":[0.0009144802,0.0002874366,0.0001691678,0.001086918,0.0004270902,0.001022153,0.001302245,0.0006792905,0.0008329488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447116,"about_ca_system_score_gemma":0.0009987283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390216,"about_ca_topic_score_gemma":0.0001580543,"domain_scores_codex":[0.9939309,0.0007901122,0.0006446801,0.001071837,0.002326516,0.001235991],"domain_scores_gemma":[0.9939261,0.0008045121,0.0002123893,0.004002637,0.0006422764,0.0004120495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007571814,0.001704171,0.003472156,0.0001611886,0.0001635262,0.0009529887,0.002264819,0.01552135,0.001358168,0.1478668,0.01730763,0.8091515],"study_design_scores_gemma":[0.00148765,0.0001539775,0.005349699,0.00002921814,0.000007862176,0.0000221428,0.00003257677,0.9771426,0.002509865,0.0008110803,0.01205292,0.0004004163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001660058,0.0001385628,0.9644323,0.009135328,0.0004024,0.0009551458,0.00001933851,0.0001812832,0.02307559],"genre_scores_gemma":[0.1260466,0.0001025551,0.8659129,0.001318006,0.0002807969,0.0001873864,0.00002818865,0.00005908001,0.006064431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9616212,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404433890114737,"score_gpt":0.3231557445284848,"score_spread":0.2827123555170111,"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."}}