{"id":"W1836071417","doi":"10.1109/cdc.1988.194285","title":"Design of cognitive feedback controller","year":2003,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Controller (irrigation); Fuzzy logic; Computer science; Control theory (sociology); Control engineering; Fuzzy control system; Fuzzy cognitive map; Defuzzification; Cognition; Fuzzy electronics; Nonlinear system; Control (management); Artificial intelligence; Neuro-fuzzy; Fuzzy set; Engineering; Fuzzy number","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":[0.0004908204,0.0005951137,0.000502898,0.0005732854,0.0007728983,0.001363944,0.001226707,0.001170245,0.004554356],"category_scores_gemma":[0.001243823,0.0002673535,0.000531777,0.000260214,0.0005914013,0.0005527702,0.0007900376,0.0005800721,0.000915134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007447518,"about_ca_system_score_gemma":0.001159001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564795,"about_ca_topic_score_gemma":0.002866018,"domain_scores_codex":[0.9995301,0.00005843304,0.00002178481,0.000100063,0.0002230647,0.00006656672],"domain_scores_gemma":[0.9996659,0.00007654315,0.00003334722,0.0000244306,0.0001709815,0.00002885606],"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":[0.0004218421,0.0002128894,0.001348958,0.0008124536,0.0001684451,0.00099636,0.001148048,0.3500138,0.0838967,0.178028,0.007596804,0.3753558],"study_design_scores_gemma":[0.0001547538,0.0002792871,0.0004899097,0.00008268726,0.00007432509,0.0002777756,0.0001052758,0.9206644,0.0233672,0.02371113,0.03073473,0.00005857843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004867122,0.0001836472,0.9825853,0.0001690546,0.00008654511,0.0001434032,0.00002664495,0.0006997267,0.01123859],"genre_scores_gemma":[0.5926253,0.0004024261,0.3931826,0.0003986987,0.00008102875,0.0009494055,0.00009673486,0.00009512837,0.01216878],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004554356,"threshold_uncertainty_score":0.01523584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343567702520844,"score_gpt":0.2199713293572015,"score_spread":0.196535652331993,"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."}}