{"id":"W2019574561","doi":"10.1088/1742-6596/97/1/012030","title":"Evaluation of two commercial finite element packages for calculating AC losses in 2-D high temperature superconducting strips","year":2008,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Multiphysics; Finite element method; Superconductivity; Nonlinear system; Power (physics); Perpendicular; Materials science; Electrical engineering; Mechanical engineering; Mechanics; Condensed matter physics; Physics; Geometry; Structural engineering; Engineering; Mathematics; Thermodynamics","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":[0.0008878445,0.000201339,0.0004890615,0.00007777481,0.0001915929,0.00004565117,0.0001920362,0.00004379712,0.00009347317],"category_scores_gemma":[0.00008657098,0.0001899388,0.0001699523,0.000181044,0.0001517919,0.002656853,0.00004703334,0.000394277,7.065806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004325537,"about_ca_system_score_gemma":0.0005857277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002344717,"about_ca_topic_score_gemma":0.00004637828,"domain_scores_codex":[0.9982758,0.0002009493,0.0005716598,0.000161276,0.0005495455,0.0002408243],"domain_scores_gemma":[0.9977215,0.000215783,0.0004378816,0.0001542172,0.001414246,0.00005635016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001578526,0.00110211,0.02795471,0.0001352449,0.0004672902,0.000005918044,0.01112186,0.01274669,0.578518,0.1820929,0.0001712753,0.1855262],"study_design_scores_gemma":[0.004138598,0.0005290775,0.007278164,0.0003180115,0.0002791304,0.000007587295,0.00865548,0.0005227787,0.7582817,0.2195201,0.00005510978,0.000414247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947756,0.00006046438,0.004182398,0.0002181554,0.0002372159,0.0002560001,0.00009240632,0.000004330072,0.0001734267],"genre_scores_gemma":[0.9973462,0.00001789999,0.00175469,0.00001324013,0.0007821264,0.0000169209,0.0000346558,0.0000160976,0.00001822791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1851119,"threshold_uncertainty_score":0.7745481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08232528323915618,"score_gpt":0.3144608780722309,"score_spread":0.2321355948330748,"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."}}