{"id":"W4403917668","doi":"10.1109/tfuzz.2024.3483817","title":"From Fuzzy Rule-Based Models to Granular Models","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Alberta Innovates","keywords":"Computer science; Fuzzy logic; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003561783,0.0004132006,0.0004418901,0.0004972747,0.0002950963,0.0009881479,0.001091997,0.0002150888,0.00001241746],"category_scores_gemma":[0.000001149443,0.0003596184,0.0003126311,0.001032583,0.00003904591,0.001015218,0.000006069833,0.0003962163,0.0007903968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904918,"about_ca_system_score_gemma":0.0001730631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821076,"about_ca_topic_score_gemma":0.00004211944,"domain_scores_codex":[0.9968472,0.0001742838,0.000550952,0.001094421,0.0007530149,0.0005801277],"domain_scores_gemma":[0.9979844,0.000215455,0.00005237944,0.001277258,0.00009918728,0.0003713181],"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":[0.0000208462,0.0001272175,2.495114e-7,0.00006958024,0.00006269355,0.00008139396,0.001145952,0.9679254,0.0003669296,0.01308321,0.001633247,0.01548328],"study_design_scores_gemma":[0.000319017,0.0001495636,0.000001504639,0.0002875231,0.00003895612,0.00001411407,0.00008405904,0.9627941,0.0006833402,0.03315339,0.00202089,0.0004535852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002151752,0.0008870099,0.9790609,0.00121268,0.006168908,0.0006979126,0.0002507448,0.001195509,0.008374603],"genre_scores_gemma":[0.9828334,0.00002664976,0.01556231,0.0004738492,0.0002824475,0.0002929939,0.000008681579,0.0000547683,0.0004649342],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9806816,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04155808700246074,"score_gpt":0.245827806808583,"score_spread":0.2042697198061222,"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."}}