{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009750564,0.0001830692,0.0003586153,0.0001179776,0.0000569929,0.000007872116,0.0001237423,0.00008626324,0.0001213181],"category_scores_gemma":[0.0001588638,0.0001388081,0.00003648345,0.0005850654,0.00009035631,0.00009350406,0.00001373734,0.0002454596,0.000002887622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374459,"about_ca_system_score_gemma":0.00006000122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001745325,"about_ca_topic_score_gemma":0.000008526748,"domain_scores_codex":[0.9987816,0.0000111089,0.0003395486,0.000388776,0.0001893215,0.0002897],"domain_scores_gemma":[0.9991654,0.0001357603,0.00009077159,0.000258334,0.0001066204,0.0002430732],"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":[0.003439194,0.0006780541,0.03746018,0.0004700536,0.00005567928,0.0002634652,0.00112348,0.00002931826,0.5108258,0.006214349,0.009904731,0.4295357],"study_design_scores_gemma":[0.03721871,0.03384836,0.01945547,0.001771926,0.0006380507,0.0007272686,0.00333267,0.01994112,0.7184708,0.005766678,0.157014,0.00181494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638387,0.0007318776,0.6049607,0.1251644,0.000113944,0.002506906,0.00005619643,0.0007372841,0.001890012],"genre_scores_gemma":[0.9272631,0.0001110582,0.0612858,0.01032345,0.0005359392,0.0001430055,0.0002367007,0.00003719046,0.00006373579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6634244,"threshold_uncertainty_score":0.5660428,"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."}}