{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449225,0.001176982,0.0009638306,0.0009607588,0.0006844756,0.001081571,0.001239174,0.001038323,0.0077025],"category_scores_gemma":[0.001571923,0.0002587464,0.0009915262,0.001240622,0.0008772596,0.001347038,0.0015524,0.001587238,0.002003553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005028881,"about_ca_system_score_gemma":0.0008679574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849407,"about_ca_topic_score_gemma":0.001474832,"domain_scores_codex":[0.9992633,0.0002350425,0.00002737571,0.0001176835,0.0002932648,0.0000632244],"domain_scores_gemma":[0.9996656,0.0001322673,0.0000459695,0.00005436641,0.000078068,0.00002373539],"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":[0.0001599772,0.0001404757,0.001325331,0.0005891874,0.0001956157,0.0001704226,0.0001788451,0.3731151,0.006204195,0.1725205,0.02696968,0.4184307],"study_design_scores_gemma":[0.00007416396,0.000243652,0.0004975391,0.00009041877,0.00006102504,0.000265565,0.00007627426,0.816819,0.003294718,0.09679615,0.08173649,0.00004500482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003931608,0.00123678,0.9761869,0.0004132266,0.0002865563,0.0001286181,0.0001117532,0.001178648,0.01652599],"genre_scores_gemma":[0.1700013,0.002135222,0.8076155,0.0007795668,0.0003132695,0.0008121123,0.0006309808,0.0007698709,0.01694212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0077025,"threshold_uncertainty_score":0.02576745,"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."}}