{"id":"W2908223120","doi":"10.1109/tmag.2018.2885966","title":"A Generalized Parallel Transmission Line Iteration for Finite Element Analysis of Permanent Magnet Axisymmetrical Actuator","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Finite element method; Magnet; Actuator; Transmission line; Line (geometry); Computer science; Materials science; Physics; Telecommunications; Mathematics; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001498748,0.0002049426,0.0003912026,0.0005975048,0.00004409641,0.00002326698,0.0001079578,0.0001259693,0.001561054],"category_scores_gemma":[0.000007858793,0.0001974546,0.0003064747,0.001080848,0.00001914414,0.00005401549,5.800224e-7,0.0001496865,0.00001679108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004830314,"about_ca_system_score_gemma":0.0000141681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006089096,"about_ca_topic_score_gemma":0.000003720172,"domain_scores_codex":[0.998705,0.00005631879,0.0004953341,0.0002306184,0.0002665699,0.0002462034],"domain_scores_gemma":[0.9991028,0.0003949191,0.00005388152,0.0002561312,0.00009348126,0.00009873226],"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":[0.0001599208,0.0001687775,0.00001219423,0.00006602951,0.0002110339,3.207135e-7,0.0001272717,0.8901721,0.0279519,0.00007950931,0.00005858038,0.08099235],"study_design_scores_gemma":[0.001407033,0.001168775,0.0003466966,0.000009909569,0.0006946567,4.698799e-7,0.00001042998,0.969837,0.02218901,0.00006841657,0.004053229,0.0002144348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0827738,0.000175087,0.9158277,0.0001105341,0.0002367503,0.0005267864,0.00006280445,0.00009862935,0.0001879207],"genre_scores_gemma":[0.8849846,0.0002763955,0.113814,0.0001309182,0.00002908435,0.00007505737,0.00005215006,0.0000344376,0.0006033885],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8022107,"threshold_uncertainty_score":0.9993517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809290205414175,"score_gpt":0.2787906984579535,"score_spread":0.2606977964038117,"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."}}