{"id":"W3006923832","doi":"10.2316/j.2020.201-0063","title":"ROBUST CLUSTER CONSENSUS OF GENERAL FRACTIONAL-ORDER NONLINEAR MULTI-AGENT SYSTEMS WITH DYNAMIC UNCERTAINTY","year":2020,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Order (exchange); Cluster (spacecraft); Multi-agent system; Mathematics; Applied mathematics; Computer science; Mathematical optimization; Artificial intelligence; Economics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001725265,0.000928479,0.001576699,0.001012096,0.001099465,0.001798443,0.001675134,0.001546696,0.001231126],"category_scores_gemma":[0.005874708,0.0003865331,0.0008838965,0.0007458801,0.001807627,0.001411953,0.001957456,0.0008281837,0.000129955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002250801,"about_ca_system_score_gemma":0.001390327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441825,"about_ca_topic_score_gemma":0.004747682,"domain_scores_codex":[0.999102,0.000190847,0.00004187481,0.0003114219,0.0001808406,0.0001730351],"domain_scores_gemma":[0.9968414,0.001338596,0.0007621418,0.0001856478,0.0006786622,0.0001934708],"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":[0.00006030048,0.00001329748,0.0003291632,0.0000410735,0.00004517176,0.00007632276,0.00006581391,0.9793853,0.0009041718,0.01599052,0.0002658548,0.002823068],"study_design_scores_gemma":[0.000003525302,0.00001155278,0.0001159559,0.000002081206,0.000004538651,0.000006954755,0.00001528487,0.9939222,0.0001182066,0.005716616,0.00007821751,0.000004764024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1564767,0.0004407583,0.835816,0.0006832965,0.00008943279,0.00006048008,0.0001225194,0.0001766242,0.006134202],"genre_scores_gemma":[0.9925408,0.0001045981,0.005294762,0.00002768979,0.00002253265,0.00003062988,0.00005601227,0.00001311978,0.001909915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01441825,"threshold_uncertainty_score":0.02866864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536833032679867,"score_gpt":0.2588689834973936,"score_spread":0.2335006531705949,"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."}}