{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001489612,0.00009136871,0.0001490896,0.0000395572,0.0000618044,0.0001264335,0.0005539327,0.00004073755,0.00001422455],"category_scores_gemma":[0.00001775965,0.000066514,0.00005163028,0.0001531586,0.000007943538,0.0003049227,0.0000931262,0.00004964114,0.000846396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476379,"about_ca_system_score_gemma":0.0001289069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008114568,"about_ca_topic_score_gemma":0.00003407828,"domain_scores_codex":[0.9991641,0.00002522293,0.000180915,0.0002247316,0.000165196,0.0002398292],"domain_scores_gemma":[0.9995514,0.00004607892,0.00003783197,0.0002292185,0.00003421782,0.0001012873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002127804,0.000005109943,0.00005211004,8.923539e-7,0.000008811118,0.000001666893,0.00009229887,0.00003818577,0.00009822675,0.8507128,0.009385709,0.1396021],"study_design_scores_gemma":[0.00483373,0.00009511345,0.002667546,0.000031101,0.000007802028,0.0000762274,0.00006558199,0.04162075,0.0005254821,0.2751188,0.6742241,0.0007338449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002399564,0.000289072,0.7137957,0.01417794,0.0001551892,0.0001039159,6.073413e-8,0.0002334684,0.2710047],"genre_scores_gemma":[0.8206651,0.000005208088,0.1580749,0.005343185,0.0004110955,0.00000918851,1.39921e-7,0.000003874421,0.01548739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8204251,"threshold_uncertainty_score":0.9999316,"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."}}