{"id":"W1995590719","doi":"10.1049/cp.2010.0067","title":"Losses in hybrid and active magnetic bearings applied to long term flywheel energy storage","year":2010,"lang":"en","type":"article","venue":"","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Flywheel; Magnetic bearing; Bearing (navigation); Energy storage; Work (physics); Power (physics); Flywheel energy storage; Amplitude; Control theory (sociology); Mechanics; Energy (signal processing); Magnetic field; Materials science; Engineering; Physics; Automotive engineering; Electrical engineering; Mechanical engineering; Computer science; Magnet; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868721,0.0003097316,0.0003537536,0.0002291344,0.0001568395,0.0003946561,0.0004151883,0.0002175629,0.0006596586],"category_scores_gemma":[0.0008117378,0.000124828,0.00009186923,0.0001617693,0.0002111138,0.0005375629,0.0001699751,0.0001030618,0.000148019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234055,"about_ca_system_score_gemma":0.0000826162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755784,"about_ca_topic_score_gemma":0.00058759,"domain_scores_codex":[0.9998604,0.00002737431,0.000007830942,0.00001760346,0.00006511465,0.00002169025],"domain_scores_gemma":[0.9996414,0.0001358997,0.00008291673,0.00002795816,0.0000936812,0.00001808711],"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":[0.002682177,0.00009072052,0.005666049,0.000443301,0.00007279428,0.0004285007,0.0002083203,0.08626347,0.8144399,0.002352855,0.0006477103,0.08670423],"study_design_scores_gemma":[0.0001090371,0.002270267,0.02439615,0.00004355532,0.0001220102,0.001008019,0.0002204866,0.4994963,0.4656644,0.001356103,0.005267689,0.00004597718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674937,0.001001343,0.02990739,0.00006467949,0.00003315214,0.00001021137,0.00003567124,0.0001825149,0.001271377],"genre_scores_gemma":[0.9984451,0.00006204643,0.001045375,0.000002916377,0.000003471828,0.000002729095,0.00001433308,0.000008699423,0.0004153953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006596586,"threshold_uncertainty_score":0.002206743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003292180909233377,"score_gpt":0.1806720897719386,"score_spread":0.1773799088627052,"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."}}