{"id":"W4400404674","doi":"10.57062/ijpem-st.2023.00143","title":"Measurement-based Dynamic Modelling in Levitated Active Magnetic Bearing Systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing-Smart Technology","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada); University of Calgary","funders":"","keywords":"Magnetic bearing; Bearing (navigation); Magnetic levitation; Computer science; Mechanical engineering; Control theory (sociology); Engineering; Artificial intelligence; Magnet","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":[0.0003073364,0.0004006961,0.0004560057,0.0002806773,0.0002194535,0.0005881231,0.000598592,0.0006172768,0.001112346],"category_scores_gemma":[0.001132704,0.0002880729,0.0003223173,0.0002246594,0.0003878277,0.0007519851,0.0003876219,0.0004612149,0.0004217048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107026,"about_ca_system_score_gemma":0.0004107407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004685217,"about_ca_topic_score_gemma":0.002853663,"domain_scores_codex":[0.9997764,0.00005757011,0.00001483537,0.00004652563,0.00008732153,0.00001739048],"domain_scores_gemma":[0.9996829,0.0001494702,0.00006019921,0.00004011727,0.00005990222,0.000007369564],"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":[0.00004171136,0.00002718962,0.0006803059,0.0000845684,0.00001322326,0.00006870722,0.0000872851,0.9644367,0.01414696,0.002457737,0.0001510848,0.01780445],"study_design_scores_gemma":[0.000002062909,0.00002043017,0.0002614645,0.000003252061,0.000001509337,0.00001010652,0.000005965209,0.9975362,0.001492033,0.0003203845,0.0003427097,0.0000038236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04885169,0.000196573,0.9466217,0.00008208123,0.00001973997,0.00004617769,0.0001000584,0.0007609412,0.00332106],"genre_scores_gemma":[0.9773316,0.0001982577,0.02063121,0.00001635676,0.000008324986,0.00009959899,0.0001118954,0.00004185449,0.00156091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004685217,"threshold_uncertainty_score":0.009315908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008489858774777762,"score_gpt":0.2122120196963979,"score_spread":0.2037221609216201,"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."}}