{"id":"W2290167732","doi":"10.1109/tmech.2015.2479404","title":"Dual-Axial Motion Control of a Magnetic Levitation System Using Hall-Effect Sensors","year":2015,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Position (finance); Hall effect sensor; Magnetic field; Magnetic flux; Polynomial; Physics; Magnetic levitation; Computer science; Mathematical analysis; Magnet; Mathematics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002693946,0.0002067433,0.0002765576,0.0001792881,0.00009022126,0.00002808237,0.00008529441,0.0001452333,0.00001166385],"category_scores_gemma":[0.000007686198,0.0002203076,0.0001321566,0.0002809984,0.00002842802,0.0001121287,8.999587e-7,0.0002168912,0.00005129286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340133,"about_ca_system_score_gemma":0.00005381274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004515114,"about_ca_topic_score_gemma":0.00001259894,"domain_scores_codex":[0.9988498,0.00007484034,0.0003542297,0.0001976045,0.0002723262,0.0002512097],"domain_scores_gemma":[0.9992856,0.0001092453,0.00006786349,0.0002998876,0.0001132968,0.0001241349],"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":[0.00002452778,0.00004597985,0.000005318605,0.0001135979,0.00004884078,0.00000119727,0.0001365399,0.9792636,0.0165597,0.001075723,0.00001813979,0.002706809],"study_design_scores_gemma":[0.001356248,0.0002509404,0.00001722001,0.00006637196,0.000222183,0.00002225588,0.0002282171,0.9793914,0.01800792,0.0001166515,0.0001128604,0.0002077382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916303,0.0001421924,0.8066013,0.00003223387,0.0006366024,0.0004778234,0.00006036988,0.0002810316,0.0001381711],"genre_scores_gemma":[0.9959119,0.00001592802,0.003831099,0.00000565064,0.00007336808,0.00006972676,0.00000890583,0.00005389771,0.00002950292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8042817,"threshold_uncertainty_score":0.8983881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841415389350934,"score_gpt":0.2307250110935711,"score_spread":0.2123108572000617,"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."}}