{"id":"W2128536883","doi":"10.1002/1522-2594(200010)44:4<532::aid-mrm6>3.0.co;2-q","title":"Gradient-induced acoustic and magnetic field fluctuations in a 4T whole-body MR imager","year":2000,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Physics; Magnetic field; Nuclear magnetic resonance; Acoustics; Field (mathematics); Mathematics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002192927,0.0002208544,0.0004337422,0.0002536043,0.00005733473,0.000009182468,0.0001278504,0.0001238976,0.001874924],"category_scores_gemma":[0.0001991653,0.000189329,0.00003036012,0.0006992136,0.0001981139,0.0000659514,0.00003011928,0.0004182933,0.00003464079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565674,"about_ca_system_score_gemma":0.0000445347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003486512,"about_ca_topic_score_gemma":0.0001886952,"domain_scores_codex":[0.998301,0.00003579547,0.0005286853,0.0004640346,0.000269433,0.0004010135],"domain_scores_gemma":[0.9990745,0.0001994963,0.00004665078,0.0004756018,0.00004941582,0.0001543204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001950134,0.0002962064,0.006712316,0.00008565073,0.000001632788,0.0002457356,0.0009440226,0.0000297076,0.08529799,0.0004690845,0.00363604,0.9020866],"study_design_scores_gemma":[0.01169038,0.006996735,0.7849065,0.002656508,0.0001773736,0.0004322061,0.001004272,0.01845304,0.002115026,0.01012652,0.1606371,0.0008043412],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539044,0.01502884,0.001101146,0.01872478,0.00005758755,0.00150345,0.000007061236,0.000112254,0.009560417],"genre_scores_gemma":[0.9763207,0.004008404,0.009263434,0.00237842,0.0001766515,0.0004733505,0.0000238697,0.00003685367,0.007318289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9012823,"threshold_uncertainty_score":0.9990375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331473005105745,"score_gpt":0.3049937290742717,"score_spread":0.2916789990232143,"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."}}