{"id":"W4413111771","doi":"10.1109/tcyb.2025.3591897","title":"T3-ANFIS: Type-3 Adaptive Neuro-Fuzzy Inference System With a Noniterative Learning Algorithm","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Robustness (evolution); Adaptive neuro fuzzy inference system; Artificial intelligence; Kalman filter; Algorithm; Fuzzy logic; Mathematics; Gaussian; Fuzzy control system; Computer science","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":[0.0001472232,0.0002717892,0.0003075746,0.0002033475,0.0003133882,0.0002302022,0.0005372048,0.0001217306,0.00000322001],"category_scores_gemma":[0.000007693253,0.0002239804,0.00007997135,0.0008879795,0.00009859211,0.0002439403,0.000006357479,0.0005363903,0.00008244581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298249,"about_ca_system_score_gemma":0.0001883238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002210216,"about_ca_topic_score_gemma":0.00007199567,"domain_scores_codex":[0.9982749,0.0002345825,0.0002966146,0.0005226356,0.0003358191,0.0003354775],"domain_scores_gemma":[0.9986534,0.0003720949,0.0001121291,0.0004677714,0.0002901175,0.0001044859],"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":[0.0003669896,0.0007363603,0.0003172168,0.0001797672,0.00102708,0.0003486908,0.007065758,0.3975961,0.0004591521,0.260254,0.0004559961,0.3311929],"study_design_scores_gemma":[0.001731836,0.002041355,0.0005658718,0.0006397727,0.0001385082,0.00005587464,0.001001059,0.9892197,0.001644569,0.0009069531,0.001395299,0.000659179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001266568,0.00007814226,0.9703345,0.0001442085,0.0008460372,0.0003648614,0.000008115097,0.0003692351,0.02658839],"genre_scores_gemma":[0.9854388,0.00001522004,0.01126483,0.0001732668,0.00003524833,0.00008498452,8.92562e-7,0.0000149692,0.002971747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841723,"threshold_uncertainty_score":0.9133655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171989376676986,"score_gpt":0.2267395666037345,"score_spread":0.2150196728369646,"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."}}