{"id":"W2982231452","doi":"10.1002/mrm.28010","title":"An orthogonal shim coil for 3T brain imaging","year":2019,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Deutsche Forschungsgemeinschaft","keywords":"Shim (computing); Electromagnetic coil; Perpendicular; Homogeneity (statistics); Materials science; Magnetic field; Acoustics; Nuclear magnetic resonance; Optics; Physics; Computer science; Mathematics; Geometry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006866424,0.0004550083,0.0002124307,0.0003453112,0.0001324057,0.0002292318,0.0003790277,0.0003826806,0.003079726],"category_scores_gemma":[0.0008222638,0.0002537845,0.0002807083,0.0002365462,0.000257388,0.0003100339,0.0002881811,0.0003135794,0.001208874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975239,"about_ca_system_score_gemma":0.0007558099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005182094,"about_ca_topic_score_gemma":0.00145048,"domain_scores_codex":[0.9998705,0.00004251386,0.000007350379,0.00002583275,0.00003855288,0.00001521472],"domain_scores_gemma":[0.9997233,0.0000672479,0.0000341929,0.00004071268,0.0001113449,0.00002322603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008823317,0.0001402267,0.005120035,0.0007086429,0.0001241155,0.0006184691,0.0001909897,0.01729103,0.6486847,0.009816761,0.01495757,0.3014651],"study_design_scores_gemma":[0.0003249399,0.002416521,0.009550456,0.0001589636,0.0004501249,0.004416543,0.0001013904,0.1922726,0.6709366,0.006694033,0.1125233,0.000154364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03910505,0.0004424413,0.9538202,0.0003353112,0.0001460416,0.0002447272,0.0003457633,0.001931084,0.003629407],"genre_scores_gemma":[0.1810794,0.0004254715,0.8149796,0.0003980259,0.0001220078,0.0003818244,0.0004307936,0.0002490875,0.001933884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003079726,"threshold_uncertainty_score":0.01030266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484938168899033,"score_gpt":0.3495582644578592,"score_spread":0.3347088827688689,"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."}}