{"id":"W4300858014","doi":"10.1109/grc.2007.4403084","title":"Type-2 Fuzzy Logic: Theory and Applications","year":2007,"lang":"en","type":"article","venue":"2007 IEEE International Conference on Granular Computing (GRC 2007)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Computer science; Fuzzy electronics; Fuzzy set; Artificial intelligence; Fuzzy set operations","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":[0.002038714,0.0002638991,0.0002551329,0.0002280955,0.0002495915,0.0002778829,0.001187464,0.0001393742,0.00005433154],"category_scores_gemma":[0.00008225465,0.0002386172,0.00008555037,0.0002623013,0.0001403937,0.0001932026,0.0001618645,0.0003082297,0.0004483624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008525505,"about_ca_system_score_gemma":0.00007424666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002529106,"about_ca_topic_score_gemma":0.00000449863,"domain_scores_codex":[0.9977358,0.0001352467,0.0004712478,0.0006308531,0.0005784673,0.0004483753],"domain_scores_gemma":[0.9982679,0.0003878336,0.0002210168,0.0004844002,0.0004564597,0.000182383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000466224,0.00007428609,0.0005176396,0.000007126554,0.00003263684,0.00002840999,0.0001039315,0.000105089,0.0005967655,0.9583736,0.0008962626,0.0392176],"study_design_scores_gemma":[0.002743918,0.0005962386,0.01047507,0.0002817189,0.00004257366,0.0003732787,0.0004583363,0.05972929,0.0008215,0.8501687,0.07270721,0.001602167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002975123,0.0002338367,0.7665815,0.0004565037,0.002253063,0.0003045677,0.000004928998,0.0001953535,0.2269951],"genre_scores_gemma":[0.9889057,0.00004571781,0.006900926,0.001681375,0.001107981,0.00001061457,0.00001044225,0.00001552539,0.001321773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859305,"threshold_uncertainty_score":0.9730525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501395842559664,"score_gpt":0.2980051901315944,"score_spread":0.2629912317059978,"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."}}