{"id":"W2123432750","doi":"10.1109/tpwrs.2007.901288","title":"Synchronous Machine Modeling Based on Shifted Frequency Analysis","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sichuan University of Science and Engineering","keywords":"Phasor; Component (thermodynamics); Waveform; Time domain; Frequency domain; Computer science; Emtp; Time–frequency analysis; Electric power system; Power (physics); Control theory (sociology); Electronic engineering; Engineering; Artificial intelligence; Telecommunications; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006521848,0.0003206509,0.0004564847,0.0007915443,0.0001619717,0.00007728068,0.0001912231,0.0001951635,0.0001693887],"category_scores_gemma":[0.00000516081,0.0003145283,0.0003068183,0.001223568,0.00002115094,0.0001256517,3.882112e-7,0.000315043,0.0001049102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924371,"about_ca_system_score_gemma":0.00003099031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002525624,"about_ca_topic_score_gemma":0.0003031894,"domain_scores_codex":[0.9979869,0.00009182136,0.0007007323,0.000380123,0.0004232042,0.0004172312],"domain_scores_gemma":[0.9988009,0.0001223682,0.00005472469,0.0007102816,0.0000980534,0.0002136438],"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":[0.00002893795,0.0001206407,0.0001147371,0.00005736036,0.0002859786,0.000009890719,0.000193403,0.9989781,0.00007928602,0.00005876609,0.00001219165,0.00006072072],"study_design_scores_gemma":[0.0003890132,0.00007833898,0.00006703846,0.00004966308,0.0001574495,0.000003628016,0.0001166949,0.9983864,0.0003258971,0.000002386307,0.0001125651,0.0003109344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008268707,0.0001890612,0.9804561,0.00001771741,0.00239231,0.0003996493,0.0001306347,0.001178878,0.006966912],"genre_scores_gemma":[0.9990515,0.000005276363,0.0006796553,0.00004427586,0.000007775312,0.00004423417,0.00001374817,0.0000733741,0.00008015022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9907828,"threshold_uncertainty_score":0.9999307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314539044771093,"score_gpt":0.2171783440115192,"score_spread":0.2078638049667481,"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."}}