{"id":"W2137890683","doi":"10.1109/ccece.1998.682716","title":"A self-organizing fuzzy power system stabilizer","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Stabilizer (aeronautics); Electric power system; Stability (learning theory); Computer science; Fuzzy logic; Table (database); Fuzzy control system; Computation; Base (topology); Power (physics); State (computer science); Fuzzy rule; Mode (computer interface); Control engineering; Engineering; Artificial intelligence; Algorithm; Mathematics; Control (management); Machine learning; Data mining","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":[0.0003040725,0.0003544019,0.0004816407,0.000371985,0.0003962368,0.000657979,0.0006048042,0.0005520428,0.001631001],"category_scores_gemma":[0.0003921511,0.0001152468,0.00025897,0.0001583983,0.0003371078,0.0004721302,0.0002581051,0.0003378366,0.0004909151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120001,"about_ca_system_score_gemma":0.0003366738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242636,"about_ca_topic_score_gemma":0.0009657918,"domain_scores_codex":[0.9997886,0.00004437075,0.000009400929,0.00004112031,0.0001006409,0.00001599419],"domain_scores_gemma":[0.9998353,0.00002652783,0.00002125372,0.0000178327,0.00008762416,0.00001154719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002716114,0.0001895434,0.00128153,0.0003142729,0.0001432249,0.0007084826,0.0003012793,0.4250935,0.1622154,0.07020573,0.005805168,0.3334703],"study_design_scores_gemma":[0.00003569717,0.0003012476,0.0003226249,0.00001361346,0.00002372813,0.0001278245,0.00002446811,0.976993,0.01307765,0.003330174,0.005733638,0.00001642011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0298768,0.0002841381,0.9591214,0.000182259,0.0001239021,0.00009550184,0.00002711752,0.001216248,0.009072649],"genre_scores_gemma":[0.8801865,0.0001682887,0.1126689,0.0001181428,0.00006172831,0.0001177629,0.0000481668,0.00004519634,0.006585363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001631001,"threshold_uncertainty_score":0.005456209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008418462063240604,"score_gpt":0.1681220391923066,"score_spread":0.159703577129066,"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."}}