{"id":"W3031120581","doi":"10.35378/gujs.567472","title":"GO: Group Optimization","year":2020,"lang":"en","type":"article","venue":"GAZI UNIVERSITY JOURNAL OF SCIENCE","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Group (periodic table); Benchmark (surveying); Population; Mathematical optimization; Test functions for optimization; Computer science; Optimization problem; Multi-swarm optimization; Mathematics; Medicine; Geography","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":[0.0008219677,0.00006116149,0.0001162835,0.0003296057,0.0002713343,0.0001661122,0.002328738,0.00002100646,0.00007339792],"category_scores_gemma":[0.0004207804,0.00005911535,0.00004726034,0.002578486,0.0004288879,0.002258679,0.0003997948,0.0001677892,0.00002666795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009895932,"about_ca_system_score_gemma":0.0004091139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001777281,"about_ca_topic_score_gemma":1.373344e-7,"domain_scores_codex":[0.9984565,0.00007067557,0.0001682291,0.0002011655,0.0009035144,0.00019987],"domain_scores_gemma":[0.998457,0.00005409492,0.0002089545,0.0001686107,0.0007208015,0.0003905325],"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":[0.00008668037,0.0001856885,0.0007581124,0.00002746458,0.00003567395,0.0007464101,0.004205018,0.8499665,0.00545991,0.1048312,0.005875383,0.02782189],"study_design_scores_gemma":[0.0004197164,0.0001823221,0.0003929757,0.000008581631,0.000004982321,0.00005532854,0.0002546365,0.9934521,0.0003004794,0.00006741538,0.004775369,0.00008609789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008801652,0.000018645,0.9918959,0.003292675,0.0001903134,0.0000440346,7.170794e-7,0.0000221584,0.00365536],"genre_scores_gemma":[0.1416206,0.00009652288,0.85772,0.0003106029,0.00006062565,1.911516e-8,1.992542e-7,0.000003052693,0.0001883973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1434856,"threshold_uncertainty_score":0.4327413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233752284903343,"score_gpt":0.2323529768436076,"score_spread":0.2089777483532733,"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."}}