{"id":"W2057151400","doi":"10.1109/pes.2008.4595975","title":"A tap-chaging algorithm for the implementation of “Sen” transformer","year":2008,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transformer; Tap changer; Computer science; Fortran; AC power; Voltage; Power flow; Electronic engineering; Algorithm; Control theory (sociology); Electrical engineering; Electric power system; Engineering; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003633058,0.000754954,0.000310953,0.0005112628,0.000370912,0.0006566503,0.0009222382,0.0005017816,0.02009441],"category_scores_gemma":[0.001136738,0.0002059544,0.0002179956,0.0005806579,0.000257972,0.000557474,0.0003423897,0.0008972124,0.004218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264208,"about_ca_system_score_gemma":0.0007995394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283716,"about_ca_topic_score_gemma":0.003816711,"domain_scores_codex":[0.9998211,0.00003363692,0.00001641645,0.00003471393,0.00007591387,0.0000182239],"domain_scores_gemma":[0.9997365,0.00007849377,0.00002131669,0.00003770791,0.0001139797,0.00001208387],"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":[0.0002319121,0.0001198153,0.0005493403,0.0002494324,0.00003298807,0.0001635669,0.0001855931,0.05355078,0.06772826,0.02291633,0.01120548,0.8430665],"study_design_scores_gemma":[0.000115485,0.0002454566,0.0004372478,0.00003837716,0.00002972446,0.0005220137,0.00004139829,0.8824034,0.05702864,0.00480072,0.05430307,0.0000344463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002137585,0.0000517206,0.9938187,0.00003424912,0.00005174028,0.00007160848,0.0000275373,0.001537931,0.002269043],"genre_scores_gemma":[0.08047301,0.0001028822,0.9131355,0.00007198916,0.00003128807,0.000186378,0.0001568684,0.0002347931,0.00560719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02009441,"threshold_uncertainty_score":0.06722254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813884298696953,"score_gpt":0.2801510069564146,"score_spread":0.252012163969445,"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."}}