{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327942,0.00007370245,0.000178818,0.00003128884,0.00002965505,0.00002696765,0.0002381297,0.00003617436,0.00002555865],"category_scores_gemma":[0.0001158031,0.00005274965,0.00004275134,0.000144334,0.00002859629,0.000122707,0.00002082709,0.00003523113,0.0001133227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007031043,"about_ca_system_score_gemma":0.00004455818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179415,"about_ca_topic_score_gemma":4.080234e-7,"domain_scores_codex":[0.9991933,0.0001686691,0.0001703147,0.0001685821,0.0001461115,0.0001529952],"domain_scores_gemma":[0.9992843,0.0003538918,0.00006303775,0.0001427676,0.0001105433,0.00004551791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002819035,0.00008762371,0.0002493999,0.000005021255,0.0000576938,0.000005843021,0.0003316536,0.0001895218,0.001748817,0.9893228,0.001244929,0.006728461],"study_design_scores_gemma":[0.05031483,0.004122648,0.008236238,0.0004222519,0.0001637994,0.0002636273,0.002964223,0.231818,0.05778261,0.6349703,0.006010741,0.002930783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003022127,0.0001641463,0.8009809,0.00005846124,0.00009697761,0.0001993816,2.613524e-7,0.0000413941,0.1981563],"genre_scores_gemma":[0.9877477,0.000003202207,0.01020432,0.0003060548,0.00001047421,0.00001655691,8.905528e-8,0.000002591482,0.001709026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9874455,"threshold_uncertainty_score":0.2151068,"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."}}