{"id":"W2053380444","doi":"10.1007/s10334-004-0041-0","title":"Characterization of vibration and acoustic noise in a gradient-coil insert","year":2004,"lang":"en","type":"article","venue":"Magnetic Resonance Materials in Physics Biology and Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electromagnetic coil; Acoustics; Scanner; Vibration; Noise (video); Finite element method; Waveform; Voice coil; Sound pressure; Boundary element method; Materials science; Physics; Computer science; Structural engineering; Engineering; Optics; Electrical engineering; Voltage","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":[0.0001168856,0.00009305319,0.0002985776,0.00006524947,0.00001820689,0.00000164769,0.00002764424,0.00007581282,0.0000121774],"category_scores_gemma":[0.00003652581,0.00007421975,0.000006148407,0.0001488744,0.0002505796,0.00003634461,0.00002194239,0.00005864821,3.740601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001684008,"about_ca_system_score_gemma":0.00001964415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009860697,"about_ca_topic_score_gemma":0.00001720018,"domain_scores_codex":[0.999358,0.00002085024,0.0002826485,0.0001839463,0.00003973542,0.0001148059],"domain_scores_gemma":[0.9997302,0.0000208664,0.0000781132,0.0001148644,0.00002577838,0.0000302321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001139528,0.00006893806,0.003189628,0.00006727393,5.990318e-7,0.000002750978,0.0002761345,0.000003405505,0.9677565,0.006888992,9.670212e-7,0.0216309],"study_design_scores_gemma":[0.00442266,0.001402613,0.5735994,0.0009250058,0.00003337202,0.00003180475,0.00007418558,0.0001063748,0.3682751,0.05029524,0.0006777325,0.0001564881],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929696,0.0007591983,0.004845663,0.0008805583,0.00004553802,0.0003963554,0.00001398022,0.00001355201,0.00007559972],"genre_scores_gemma":[0.9946529,0.00339486,0.001404733,0.0002608307,0.00009245398,0.00008231957,0.00008524515,0.000007422026,0.0000192911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5994813,"threshold_uncertainty_score":0.3026594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140415388916807,"score_gpt":0.2862498696595233,"score_spread":0.2748457157703552,"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."}}