{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000540492,0.0004849984,0.0004206063,0.0003352105,0.0002856674,0.0006628563,0.0007703711,0.001282255,0.001054609],"category_scores_gemma":[0.001722389,0.0003241162,0.0004107821,0.0002353199,0.0009424543,0.0008394027,0.0005059,0.0003852285,0.0002846862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003387124,"about_ca_system_score_gemma":0.0004018015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188039,"about_ca_topic_score_gemma":0.001389208,"domain_scores_codex":[0.9997813,0.00005791838,0.000007582001,0.00004278048,0.00007258692,0.00003779348],"domain_scores_gemma":[0.9995691,0.0002110505,0.0000742585,0.00005290708,0.00007241167,0.00002018995],"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":[0.00009948949,0.00003812431,0.000779702,0.000055409,0.0000126391,0.0001588825,0.000186812,0.9694287,0.01835512,0.003774032,0.0002334956,0.006877596],"study_design_scores_gemma":[0.00000183608,0.00002006511,0.000344489,0.000002487919,0.000002870128,0.00002307527,0.00001338035,0.9979939,0.001130092,0.0003219134,0.0001400359,0.000005822387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3825226,0.0004617542,0.6017213,0.000397758,0.00005684385,0.00009014479,0.0001379263,0.0003847467,0.01422686],"genre_scores_gemma":[0.9941203,0.00009338475,0.003853104,0.00001343133,0.000007252964,0.00002324486,0.0000256597,0.00002254536,0.001841076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002188039,"threshold_uncertainty_score":0.004350603,"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."}}