{"id":"W2160411724","doi":"10.1109/tmag.2009.2022742","title":"A Novel Superposition RBF Collocation Method to Solve Moving Conductor Eddy Current Problems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Numerical methods in engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Eddy current; Superposition principle; Conductor; Collocation method; Magnetic field; Equations of motion; Physics; Radial basis function; Current (fluid); Electromagnetic field; Computer science; Mathematical analysis; Mechanics; Classical mechanics; Differential equation; Mathematics; Geometry; Artificial neural network","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":[0.0006349812,0.0005652762,0.0005367177,0.0004243121,0.0002984551,0.0003473786,0.000904882,0.0007518568,0.001845446],"category_scores_gemma":[0.001232714,0.0002715978,0.0005691734,0.0004840899,0.0003250315,0.0008431953,0.0005738387,0.0008078796,0.0008477249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002646925,"about_ca_system_score_gemma":0.00052334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880927,"about_ca_topic_score_gemma":0.001670243,"domain_scores_codex":[0.9996288,0.0001028626,0.00001691064,0.00004119467,0.0001927823,0.00001739265],"domain_scores_gemma":[0.9995859,0.0001311203,0.00002963433,0.00004374002,0.0001883498,0.00002119022],"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":[0.0001576468,0.00009749547,0.0006868458,0.0003494752,0.0001018764,0.0002165665,0.0002516469,0.4046904,0.06877013,0.0555703,0.006960717,0.4621468],"study_design_scores_gemma":[0.000009549367,0.00002804775,0.00006555187,0.000006246589,0.000007394128,0.00004946681,0.000006182009,0.9901447,0.003242124,0.001720022,0.004711709,0.000008939492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00119167,0.00008315622,0.9980319,0.00002111392,0.0000291488,0.000007230586,0.000006224257,0.00009159109,0.0005379866],"genre_scores_gemma":[0.07043012,0.0003068689,0.9264082,0.00005642813,0.00007483552,0.00007230771,0.0000745358,0.0001373723,0.002439273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001880927,"threshold_uncertainty_score":0.00617367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617783247721579,"score_gpt":0.2922846272891803,"score_spread":0.2661067948119645,"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."}}