{"id":"W3111708759","doi":"10.1002/nbm.4457","title":"Radiofrequency coil for routine ultra‐high‐field imaging with an unobstructed visual field","year":2020,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Electromagnetic coil; Sensitivity (control systems); Field (mathematics); Artificial intelligence; Radiofrequency coil; Visual field; Computer vision; Simulation; Electronic engineering; Electrical engineering; Physics; Optics; Engineering","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":[0.0002686462,0.0003158464,0.0002735284,0.0001624669,0.0001077098,0.000249296,0.0004033046,0.0003079544,0.005912358],"category_scores_gemma":[0.0004505101,0.0001455496,0.0002506803,0.0001721955,0.0001837923,0.0002277784,0.0002145256,0.0002632745,0.003171755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930787,"about_ca_system_score_gemma":0.0003429827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002374824,"about_ca_topic_score_gemma":0.0003716101,"domain_scores_codex":[0.9998755,0.00003751607,0.000009050103,0.00002204859,0.00004254185,0.00001324963],"domain_scores_gemma":[0.9997224,0.0000844981,0.00003768523,0.00007695444,0.00006608541,0.00001229866],"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":[0.000598927,0.00008804181,0.001051432,0.001105996,0.00006369737,0.0006658226,0.0002408475,0.01961921,0.700694,0.01543482,0.02429664,0.2361406],"study_design_scores_gemma":[0.0002609424,0.002243734,0.005037163,0.0001473131,0.0002398389,0.003753626,0.00008648869,0.08321967,0.5398751,0.004522795,0.3605248,0.00008848771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05139894,0.0006086412,0.9297401,0.0003130633,0.0003073362,0.0003752216,0.0004681178,0.002146461,0.01464212],"genre_scores_gemma":[0.3717971,0.0007632914,0.6095964,0.0003470608,0.0001126165,0.0009048863,0.0007754724,0.0003915653,0.01531168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005912358,"threshold_uncertainty_score":0.01977885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157207839413847,"score_gpt":0.335543947748718,"score_spread":0.3198231638073333,"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."}}