{"id":"W4391795778","doi":"10.1016/j.mechatronics.2024.103148","title":"Modular Maglev: Design and implementation of a modular magnetic levitation system to levitate a 2D Halbach array","year":2024,"lang":"en","type":"article","venue":"Mechatronics","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Maglev; Levitation; Modular design; Halbach array; Magnetic levitation; Electrodynamic suspension; Engineering; Electrical engineering; Computer science; Physics; Magnet; Magnetic field; Magnetic energy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004122683,0.0001853646,0.0002077437,0.0002162311,0.00003994919,0.0001018992,0.00009594357,0.00006956029,0.00004459756],"category_scores_gemma":[0.00001020259,0.0001972769,0.00005283151,0.0002884789,0.00001190945,0.000149103,0.00002170642,0.0001168213,0.00003105011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310651,"about_ca_system_score_gemma":0.00003589435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004295111,"about_ca_topic_score_gemma":0.00001839693,"domain_scores_codex":[0.9988484,0.00005015808,0.0003643795,0.0002543815,0.0002234239,0.0002592847],"domain_scores_gemma":[0.999557,0.00005948833,0.00003246349,0.0001997578,0.00006083007,0.00009043984],"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":[0.00001568493,0.00001740571,0.00003948174,0.003497648,0.0001111288,0.00001184422,0.0048475,0.5482197,0.2487464,0.07162406,0.0003203998,0.1225487],"study_design_scores_gemma":[0.0002863446,0.000265036,0.0004267048,0.0001805123,0.00008402743,0.00001268553,0.00137538,0.9903727,0.003489847,0.0007999963,0.002461379,0.0002454116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2777683,0.003266567,0.7174854,0.0001411815,0.0002923591,0.0006369352,0.00002921193,0.000246452,0.0001336312],"genre_scores_gemma":[0.9401863,0.0001355986,0.05936734,0.00001637154,0.0000323528,0.00009253947,0.00002098487,0.00005521729,0.00009326302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.662418,"threshold_uncertainty_score":0.8044717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007450683029377633,"score_gpt":0.2223580419983433,"score_spread":0.2149073589689657,"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."}}