{"id":"W1979006738","doi":"10.1049/ip-gtd:20030756","title":"Generator ranking using modal analysis","year":2003,"lang":"en","type":"article","venue":"IEE Proceedings - Generation Transmission and Distribution","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ranking (information retrieval); Modal; Generator (circuit theory); Computer science; Modal analysis; Electric power system; Measure (data warehouse); Point (geometry); Index (typography); Reliability engineering; Data mining; Power (physics); Engineering; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001983831,0.0008487323,0.0008972756,0.006843496,0.0007437656,0.001710066,0.0005637208,0.0004256265,0.00755265],"category_scores_gemma":[0.007294821,0.0001927559,0.0007630141,0.002635691,0.0003261596,0.001375035,0.0009442542,0.0005110991,0.001144094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007239025,"about_ca_system_score_gemma":0.0006713961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909175,"about_ca_topic_score_gemma":0.002872564,"domain_scores_codex":[0.9983479,0.0006940528,0.00009228716,0.000156096,0.0005464032,0.0001634119],"domain_scores_gemma":[0.9971872,0.001359251,0.0002516394,0.0002141593,0.000878147,0.0001095827],"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":[0.0004158448,0.0001791928,0.007888499,0.0002841648,0.0001573114,0.000163898,0.000225813,0.2166477,0.008084617,0.04160606,0.01036361,0.7139833],"study_design_scores_gemma":[0.00003475977,0.0001933722,0.005227119,0.00003471316,0.00005026818,0.0001532969,0.0001855304,0.9490535,0.003657648,0.03608379,0.00525289,0.00007312527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04416584,0.0002137718,0.9419224,0.0001328151,0.00005378008,0.000254008,0.0007572214,0.0009448997,0.01155521],"genre_scores_gemma":[0.6703525,0.0002098449,0.3221164,0.00004634308,0.00009049831,0.0002843066,0.001694986,0.0001565501,0.005048527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00755265,"threshold_uncertainty_score":0.02526617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759677979984369,"score_gpt":0.2214927936612952,"score_spread":0.2038960138614515,"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."}}