{"id":"W4405836126","doi":"10.1016/j.rineng.2024.103855","title":"Investigating electromagnetic forces in multi-winding transformers: A numerical analysis","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Transformer; Computer science; Mechanical engineering; Engineering; Mechanics; Physics; Electrical engineering; Voltage","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":[0.0005605056,0.0003146029,0.0004413005,0.0006018233,0.0005482542,0.0006556823,0.0004055848,0.001009124,0.001974779],"category_scores_gemma":[0.001725755,0.0002215602,0.0005221825,0.0004467742,0.0007478758,0.0007414377,0.0004506473,0.0003695571,0.0002995455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460148,"about_ca_system_score_gemma":0.0005185053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677681,"about_ca_topic_score_gemma":0.00166202,"domain_scores_codex":[0.9997184,0.00005785792,0.00001390164,0.0000293726,0.0001481628,0.00003229138],"domain_scores_gemma":[0.9992685,0.0004170487,0.00009826611,0.00008223967,0.0001072946,0.00002665009],"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":[0.0001550611,0.0001581957,0.004622024,0.0001888293,0.00002650216,0.0003677083,0.0002005509,0.9031329,0.04975031,0.007942742,0.0005423222,0.03291286],"study_design_scores_gemma":[0.0000169234,0.00009691549,0.001094068,0.00001783167,0.000008837963,0.0001704096,0.00006966237,0.9899604,0.006447289,0.001099904,0.001005645,0.00001217351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6658719,0.0005127254,0.3083013,0.0005984905,0.0001080926,0.0002179606,0.0001658742,0.0003149418,0.02390868],"genre_scores_gemma":[0.9653818,0.0001559994,0.03270984,0.00002398592,0.000009956361,0.00004625264,0.00003475456,0.00002117534,0.001616132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974779,"threshold_uncertainty_score":0.00660634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111700791581871,"score_gpt":0.2420935552442369,"score_spread":0.2309765473284182,"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."}}