{"id":"W2133304450","doi":"10.1109/icsmc.1998.728201","title":"Fuzzy data mining and expert system development","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Extension (predicate logic); Artificial intelligence; Representation (politics); Data mining; Knowledge representation and reasoning; Fuzzy logic; Machine learning; Fuzzy set; Expert system; Set (abstract data type); Neuro-fuzzy; Fuzzy set operations; Fuzzy classification; Minification; Fuzzy control system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004991983,0.000595547,0.0009902319,0.001953857,0.0005415825,0.0021777,0.001998185,0.001201767,0.006651155],"category_scores_gemma":[0.01363194,0.0004525302,0.0007733561,0.001605524,0.0007375955,0.001883962,0.001430659,0.001197212,0.002937121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009151516,"about_ca_system_score_gemma":0.00217945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323877,"about_ca_topic_score_gemma":0.00123489,"domain_scores_codex":[0.9966196,0.001142579,0.0002902891,0.0006029278,0.001231064,0.0001136002],"domain_scores_gemma":[0.996012,0.001796996,0.0001668712,0.0005813119,0.001357973,0.00008490853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001279985,0.0001961737,0.001542669,0.0007595291,0.0001403755,0.00044426,0.0004723529,0.06249468,0.005278664,0.1585797,0.01052629,0.7594373],"study_design_scores_gemma":[0.00008983057,0.000223867,0.001662992,0.0003600751,0.0001053319,0.0009014144,0.000295411,0.6093227,0.01763998,0.2312224,0.1381022,0.00007385408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002784995,0.0004669316,0.9892324,0.0004485349,0.00005583169,0.0002522679,0.0001409111,0.0004572155,0.006160953],"genre_scores_gemma":[0.0454496,0.0008522826,0.9481937,0.0002389765,0.00008608587,0.0004049659,0.0004771312,0.00005096981,0.004246358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006651155,"threshold_uncertainty_score":0.02640045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07295423699019626,"score_gpt":0.2294439987183386,"score_spread":0.1564897617281424,"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."}}