{"id":"W3173494593","doi":"10.1016/j.mri.2021.06.007","title":"Parametric modeling of steady-state gradient coil vibration: Resonance dynamics under variations in cylinder geometry","year":2021,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Cylinder; Vibration; Physics; RADIUS; Mechanics; Excitation; Resonance (particle physics); Electromagnetic coil; Displacement (psychology); Dynamics (music); Acoustics; Nuclear magnetic resonance; Classical mechanics; Geometry; Atomic physics; Mathematics","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":[0.0002005632,0.0001775889,0.000335794,0.0003019178,0.00008484644,0.00002760748,0.0001186193,0.00005634586,0.00005821215],"category_scores_gemma":[0.000155228,0.000191335,0.00007998126,0.001930992,0.00008779059,0.0001423202,0.00008124599,0.000292297,0.000004940763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218266,"about_ca_system_score_gemma":0.0002089293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134467,"about_ca_topic_score_gemma":0.00008210609,"domain_scores_codex":[0.9982397,0.00003905136,0.0006036369,0.0004562322,0.000319711,0.0003416828],"domain_scores_gemma":[0.998807,0.0001146449,0.0001258486,0.0005576816,0.0003098413,0.00008494583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001264242,0.001049676,0.04833525,0.0001987893,0.000009651813,0.0001869074,0.0005790503,0.1096001,0.002227096,0.07316422,0.0002244965,0.7642983],"study_design_scores_gemma":[0.0009582925,0.00004519739,0.05169899,0.0002419487,0.00002738962,0.00006396243,0.0003140508,0.9306527,0.0004902763,0.01333044,0.001980926,0.0001958366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0788988,0.02167372,0.8922791,0.003476889,0.00007227922,0.0005236479,0.00004617557,0.0001149617,0.002914355],"genre_scores_gemma":[0.8810484,0.001363599,0.1156916,0.0005050921,0.0000351347,0.0001127358,0.00006093168,0.0000367942,0.001145687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8210526,"threshold_uncertainty_score":0.7802413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717392980698306,"score_gpt":0.2860844744602731,"score_spread":0.26891054465329,"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."}}