{"id":"W2151606275","doi":"10.1109/pes.2003.1271009","title":"An improved low frequency transformer model for use in GIC studies","year":2004,"lang":"en","type":"article","venue":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Emtp; Transformer; Distribution transformer; Waveform; Eddy current; Electronic engineering; Single phase; Voltage; Computer science; Engineering; Electrical engineering; Electric power system; Power (physics); 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":[0.0006876947,0.0004760967,0.0004883297,0.00006181181,0.0002555778,0.0001558203,0.000463989,0.000218575,0.00002043743],"category_scores_gemma":[0.0001527304,0.0004449851,0.0002285172,0.0003745958,0.0001124319,0.0004634323,0.00002009729,0.0002198325,0.00002732138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574635,"about_ca_system_score_gemma":0.0002032605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002864718,"about_ca_topic_score_gemma":0.00006881593,"domain_scores_codex":[0.9972982,0.0000282495,0.0006788442,0.0007550768,0.0002765523,0.0009630094],"domain_scores_gemma":[0.9986128,0.00006458051,0.0001213157,0.0005604017,0.0004338078,0.000207085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000860152,0.00009193616,0.00001737617,0.0001201,0.00002075288,7.641738e-7,0.001723452,0.2882996,0.7090135,0.0001900429,0.000473059,0.0000408615],"study_design_scores_gemma":[0.001139924,0.0001557132,0.00003073057,0.0001412924,0.00003965729,0.000004217957,0.0001707594,0.8094732,0.1877643,0.0002125866,0.0001956966,0.0006718638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966874,0.0002983651,0.1003176,0.000166402,0.001239461,0.0008926172,0.00009924347,0.0002619851,0.00003690718],"genre_scores_gemma":[0.5838636,0.0002431779,0.4137448,0.0004733661,0.0003389124,0.0007260163,0.00001865106,0.000110384,0.0004811324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5212491,"threshold_uncertainty_score":0.9998002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412314203501612,"score_gpt":0.2572849048512633,"score_spread":0.2331617628162472,"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."}}