{"id":"W1900114335","doi":"10.1109/nafips.2005.1548531","title":"Developing a New Fuzzy Controller","year":2005,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuzzy logic; Testbed; Inverted pendulum; Automaton; Controller (irrigation); Computer science; Fuzzy set operations; Neuro-fuzzy; State (computer science); Control theory (sociology); Fuzzy control system; Control engineering; Theoretical computer science; Algorithm; Artificial intelligence; Control (management); Engineering; Physics; Nonlinear system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004212878,0.0003872684,0.0004473033,0.0003883233,0.0005222141,0.0009138746,0.001183388,0.001057748,0.003540368],"category_scores_gemma":[0.0009878738,0.0002033981,0.0005124508,0.0002030855,0.0006789677,0.001110357,0.0008550533,0.001162132,0.0009966376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385363,"about_ca_system_score_gemma":0.0006509303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488714,"about_ca_topic_score_gemma":0.001293695,"domain_scores_codex":[0.9995788,0.00004117325,0.00002420704,0.0001274682,0.0002008426,0.00002746978],"domain_scores_gemma":[0.9997873,0.00006236206,0.00001222799,0.00004042303,0.0000806358,0.00001697692],"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":[0.0001352439,0.0001217115,0.0006608617,0.0004323147,0.0001091185,0.000625591,0.0007267011,0.1538328,0.135979,0.3463539,0.005556774,0.3554661],"study_design_scores_gemma":[0.00006967655,0.0001718106,0.0001858876,0.00007523134,0.00004842518,0.0003679793,0.00005431433,0.8414431,0.02383433,0.05293715,0.08076626,0.00004581946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004172635,0.0001649365,0.9868772,0.0001434119,0.0001922657,0.00007506168,0.00002306954,0.0006361007,0.007715405],"genre_scores_gemma":[0.2024837,0.0004055529,0.7860774,0.0003032197,0.0001352416,0.0002809699,0.00007609671,0.00009847053,0.01013935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003540368,"threshold_uncertainty_score":0.01184368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392016118834523,"score_gpt":0.2372778677161465,"score_spread":0.2133577065278012,"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."}}