{"id":"W1921097830","doi":"10.1109/lescpe.2004.1356257","title":"Economic dispatch of all thermal power systems with fuzzy load","year":2004,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economic dispatch; Electric power system; Fuzzy logic; Computer science; Mathematical optimization; Simple (philosophy); Power (physics); Control theory (sociology); Fuzzy control system; Mathematics; Artificial intelligence","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":[0.00007245957,0.0001051557,0.0001547247,0.00004110415,0.000008671655,0.00001703683,0.00009142073,0.00005032963,0.00003337249],"category_scores_gemma":[0.000001549492,0.00008408225,0.00002213076,0.0000646285,0.000009217106,0.0001163463,0.000006781941,0.00004606363,0.00007160381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620059,"about_ca_system_score_gemma":0.00004677164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003394551,"about_ca_topic_score_gemma":0.00009242098,"domain_scores_codex":[0.9994416,0.000007709078,0.0001927663,0.00009962248,0.00009454773,0.0001637649],"domain_scores_gemma":[0.9997019,0.00001060212,0.00003465104,0.0001887629,0.00002476011,0.00003933753],"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":[0.000005364865,0.000008675282,0.0006087626,0.00003911736,0.00005846946,0.000002021614,0.0001735405,0.9964552,0.0008688059,0.001595089,0.0001659302,0.00001900625],"study_design_scores_gemma":[0.01583263,0.002220958,0.0222347,0.001351713,0.0003589611,0.0005096376,0.001322141,0.8450564,0.09767594,0.0002972176,0.008618247,0.004521522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7377633,0.0005813329,0.09813377,0.0000371857,0.0005180379,0.0003820425,0.000005929178,0.0003780414,0.1622003],"genre_scores_gemma":[0.9990196,0.000009731736,0.0006759539,0.000006767405,0.0000153254,0.00001154179,0.000002865689,0.00003011676,0.0002281514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2612562,"threshold_uncertainty_score":0.3428775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003447278356747185,"score_gpt":0.1713642782081548,"score_spread":0.1679169998514076,"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."}}