{"id":"W2651680601","doi":"10.1109/ccece.2017.7946628","title":"GENTPJ model dynamic performance","year":2017,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Permanent magnet synchronous generator; Generator (circuit theory); Computer science; Power system simulation; Work (physics); Field (mathematics); Power (physics); Control theory (sociology); Constant (computer programming); Turbine; Electric power system; Control engineering; Simulation; Engineering; Mechanical engineering; Mathematics; Physics","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":[0.00004933203,0.00004578611,0.00005225239,0.00001085485,0.00009695039,0.00004360617,0.0001335535,0.00002277567,0.00009946429],"category_scores_gemma":[0.000005685552,0.00004085134,0.00001626631,0.000007783712,0.00001182303,0.0001562494,0.00001675131,0.00002974142,0.00007662748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002372663,"about_ca_system_score_gemma":0.000004682443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001815104,"about_ca_topic_score_gemma":0.00001361158,"domain_scores_codex":[0.9997411,0.000001699474,0.00007076275,0.00005642797,0.00004616846,0.00008380245],"domain_scores_gemma":[0.9995969,0.000001703663,0.000009724294,0.0003487387,0.00001233609,0.00003063141],"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":[0.000001100814,0.000005208677,0.003018975,0.00004338493,0.000006237901,2.19179e-7,0.00008362498,0.9940834,0.0001423682,0.0003663826,0.000563373,0.001685742],"study_design_scores_gemma":[0.00006710189,0.000001684272,0.006322801,0.000002677497,9.779648e-7,5.18692e-7,0.000003869179,0.9929808,0.0001227414,0.00001739224,0.000424237,0.00005518265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2266815,0.00002085596,0.4808219,0.00003722878,0.0002510249,0.00005846459,0.000002648095,0.0002486329,0.2918777],"genre_scores_gemma":[0.9946356,0.00002382022,0.002318015,0.00001073428,0.00000281298,0.000003982176,0.000001205594,0.000007048153,0.002996809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7679541,"threshold_uncertainty_score":0.1665869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266577430434449,"score_gpt":0.2248464427375572,"score_spread":0.2121806684332128,"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."}}