{"id":"W1576470535","doi":"10.1007/978-3-540-72530-5_14","title":"Evolution of Fuzzy System Models: An Overview and New Directions","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Fuzzy logic; Soft computing; Fuzzy set; Neuro-fuzzy; Artificial intelligence; Fuzzy control system; Schema (genetic algorithms); Data mining; Machine learning; Theoretical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001064022,0.0003912831,0.0006267828,0.00072298,0.000193588,0.0002307643,0.001686501,0.0003232465,0.000001177266],"category_scores_gemma":[0.00002287263,0.0003428576,0.0001076925,0.0006024627,0.0003461746,0.0008780657,0.0005620709,0.000386202,0.000006152666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602817,"about_ca_system_score_gemma":0.0005984796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006124958,"about_ca_topic_score_gemma":0.0003327999,"domain_scores_codex":[0.9968922,0.00005197515,0.0006092385,0.001165581,0.0008208652,0.0004602142],"domain_scores_gemma":[0.9977935,0.0002152873,0.000352088,0.001139147,0.0002368408,0.0002631123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004387893,0.00001388753,0.00001927046,0.000103326,0.000008416692,0.00001456473,0.0003435507,0.01669535,0.00003322773,0.648331,0.00000622235,0.3344268],"study_design_scores_gemma":[0.0002599726,0.0002016466,0.0001521842,0.0007504965,0.00001344237,0.0001407685,0.000001024206,0.5952748,0.00002907438,0.4024501,0.0003226908,0.0004038191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00003350625,0.01483055,0.9610549,0.00009467528,0.00139453,0.000358184,0.000003695741,0.0001777083,0.02205232],"genre_scores_gemma":[0.7592736,0.0003577909,0.2386202,0.0002912059,0.0009468703,0.000009302003,0.000002691935,0.00003772852,0.0004605641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7592401,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05524635328397992,"score_gpt":0.2618767501520619,"score_spread":0.206630396868082,"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."}}