{"id":"W2355331111","doi":"","title":"Simulation and Optimization on Radial Active Magnetic Bearing Based on COMSOL and iSIGHT","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiphysics; Magnetic bearing; Computer science; Finite element method; Software; Bearing (navigation); Process (computing); Mechanical engineering; Engineering; Structural engineering; Magnet; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000368598,0.000113414,0.000081739,0.0001041712,0.0001023967,0.00007556864,0.00005691432,0.0000709301,0.00003833494],"category_scores_gemma":[0.000001434657,0.0001229833,0.00001485456,0.0000962175,0.00003357842,0.00004989899,0.0000154783,0.000174375,0.000008695303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001377116,"about_ca_system_score_gemma":0.000005781383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003623599,"about_ca_topic_score_gemma":0.000004927203,"domain_scores_codex":[0.999518,0.000007879096,0.000119255,0.0001881552,0.00006389675,0.0001027674],"domain_scores_gemma":[0.9995941,0.0001573061,0.00002300328,0.0001344522,0.00002990456,0.00006124331],"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":[0.000004192631,0.00002040411,0.00004637879,0.00001593311,0.000002821002,1.139906e-7,0.00009666272,0.8796704,0.001878182,0.0008066992,0.00002272091,0.1174355],"study_design_scores_gemma":[0.0003364249,0.00004373111,0.004105164,0.000007876208,0.000008777312,0.000001016752,0.000004067301,0.9822256,0.000188736,0.00008380769,0.01287117,0.0001236214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07157879,0.00001565832,0.9263461,0.0001596054,0.00003367028,0.0005425913,0.00001286602,0.0001466667,0.001164039],"genre_scores_gemma":[0.8424286,0.000005992051,0.1571019,0.0001832619,0.00009311265,0.00009549801,0.00003915655,0.00002359049,0.00002886991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7708498,"threshold_uncertainty_score":0.5015113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004535700760851231,"score_gpt":0.2042255881092108,"score_spread":0.1996898873483596,"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."}}