{"id":"W4404623735","doi":"10.1088/1361-6560/ad965b","title":"Novel frequency selective B<sub>1</sub> focusing passive lenz resonators for substantial MRI signal-to-noise ratio amplification","year":2024,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Lakehead University; Thunder Bay Regional Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Resonator; Signal-to-noise ratio (imaging); Acoustics; Noise (video); SIGNAL (programming language); Physics; Materials science; Computer science; Optics; Artificial intelligence","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":[0.0002854248,0.0005863836,0.0003741692,0.0001655026,0.0001343809,0.0003691928,0.0005571749,0.0006662821,0.0009226931],"category_scores_gemma":[0.0004785652,0.0002589167,0.0002302146,0.0001036823,0.0003804889,0.0005174248,0.0002851276,0.0002794266,0.0005711776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825042,"about_ca_system_score_gemma":0.0001417718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001269591,"about_ca_topic_score_gemma":0.000300729,"domain_scores_codex":[0.9997862,0.00003344963,0.000009374371,0.00005646609,0.00009145505,0.00002308992],"domain_scores_gemma":[0.9995908,0.00009822482,0.0001569211,0.00003237245,0.00009446395,0.00002715199],"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":[0.00003123055,0.000007461647,0.0000581563,0.00005166568,0.000002957702,0.00005134988,0.00002316333,0.0001183831,0.9972622,0.0001893323,0.0001029654,0.002101113],"study_design_scores_gemma":[0.00002103322,0.0002263802,0.0005569228,0.000007133564,0.00001127573,0.0003144351,0.00002419009,0.00416857,0.9910178,0.0000583035,0.003580008,0.00001402193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089902,0.002731179,0.1774451,0.0006307173,0.000293081,0.0002000338,0.0002411042,0.001527955,0.007940661],"genre_scores_gemma":[0.8458132,0.0005746199,0.1474466,0.0001886745,0.00005953581,0.00008675802,0.00009899577,0.0001071259,0.005624559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009226931,"threshold_uncertainty_score":0.003086686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275557169359372,"score_gpt":0.4061418018811194,"score_spread":0.2785860849451822,"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."}}