{"id":"W3009966687","doi":"10.3233/jifs-179689","title":"Online identification of nonlinear systems using neo-fuzzy supported brain emotional learning network","year":2020,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Identifier; Computer science; Fuzzy logic; Identification (biology); Artificial intelligence; Artificial neural network; Neuro-fuzzy; Mean squared error; Machine learning; Pattern recognition (psychology); Fuzzy control system; Mathematics; Statistics","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":[0.001114541,0.0002126234,0.0005520167,0.0001468217,0.000168759,0.0002703872,0.0009482998,0.0001066965,0.000005637028],"category_scores_gemma":[0.0001415806,0.0001856451,0.0002473422,0.0009670359,0.00004689493,0.0004409474,0.0001350901,0.0004834857,0.00001781156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009131351,"about_ca_system_score_gemma":0.0001802411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004647318,"about_ca_topic_score_gemma":0.000001637583,"domain_scores_codex":[0.9962384,0.0003124502,0.00207172,0.0003094191,0.0007494768,0.000318543],"domain_scores_gemma":[0.9960015,0.0002563781,0.002311383,0.0003163845,0.0008447226,0.0002696199],"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":[0.00002263643,0.0001634014,0.001392467,0.0001557219,0.0001247886,0.00002606601,0.0003709499,0.9734957,0.0118769,0.007083326,0.00359617,0.001691895],"study_design_scores_gemma":[0.0002158191,0.0002531191,0.0004918984,0.0004603601,0.00004082237,0.0003299877,0.0004443818,0.9858159,0.000676963,0.0001640387,0.01090027,0.0002064157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1774131,0.002193877,0.8151641,0.002323177,0.002245796,0.0004780036,0.00001906119,0.00006665252,0.00009617361],"genre_scores_gemma":[0.9918181,0.0001337346,0.00496392,0.0001591858,0.002723434,0.000003736529,0.00002115794,0.00002524776,0.0001515191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8144049,"threshold_uncertainty_score":0.757039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789653651898411,"score_gpt":0.2895856835326977,"score_spread":0.2416891470137136,"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."}}