{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163984,0.00008568574,0.0001234455,0.00003055836,0.000107488,0.0001469406,0.0008725415,0.00003133752,0.000004538851],"category_scores_gemma":[0.000009223181,0.00006308848,0.000008220977,0.0000868548,0.00001187571,0.0003295364,0.0005444189,0.00002287218,0.00007982332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229919,"about_ca_system_score_gemma":0.00001227921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002341225,"about_ca_topic_score_gemma":0.000008833817,"domain_scores_codex":[0.9990808,0.00003022548,0.000176275,0.0003618809,0.0001708619,0.0001799439],"domain_scores_gemma":[0.9991459,0.00004069569,0.0000347655,0.0006828828,0.00001750276,0.00007826695],"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":[0.00000229729,0.00005470106,0.001103807,0.00007045951,0.00005816844,0.00008381537,0.005940169,0.000001769674,0.0001892081,0.1775944,0.0694261,0.7454751],"study_design_scores_gemma":[0.002826241,0.0001590732,0.00326743,0.0003691465,0.0000122498,0.0007264444,0.005567444,0.6472071,0.0002907702,0.0005005617,0.33747,0.001603569],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008793046,0.005673723,0.1557013,0.001389559,0.0008216565,0.0002804165,0.000001299156,0.0007270803,0.8266119],"genre_scores_gemma":[0.9162439,0.0000102805,0.08158386,0.000274217,0.00006722492,0.00001137713,0.000001020167,0.000003319838,0.001804798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9074509,"threshold_uncertainty_score":0.2572673,"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."}}