{"id":"W4410518344","doi":"10.1002/mrm.30551","title":"Multi‐center benchmarking of cervical spinal cord <scp>RF</scp> coils for 7 T <scp>MRI</scp> : A traveling spines study","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Marianopolis College; Université de Montréal; Western University; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"NIH Clinical Center; Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal; Canada Research Chairs; Canada First Research Excellence Fund; National Institutes of Health; Norges Teknisk-Naturvitenskapelige Universitet; Centre National de la Recherche Scientifique; Canadian Institutes of Health Research; National Institute of Biomedical Imaging and Bioengineering; Fonds de Recherche du Québec - Santé; Mitacs; Canada Foundation for Innovation; Max-Planck-Gesellschaft","keywords":"Spinal cord; Electromagnetic coil; Cord; Radiofrequency coil; Medicine; Biomedical engineering; Magnetic resonance imaging; Nuclear medicine; Radiology; Surgery; Engineering; Electrical 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":[0.006698373,0.0004173898,0.0003625821,0.0006528645,0.0006032245,0.0006464352,0.0007529383,0.0006800891,0.001460297],"category_scores_gemma":[0.008627758,0.0002142635,0.0003867523,0.0005041247,0.0007159993,0.0004544662,0.0006558629,0.0002673994,0.0006334212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454103,"about_ca_system_score_gemma":0.000955981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003139948,"about_ca_topic_score_gemma":0.007041242,"domain_scores_codex":[0.997983,0.0009474441,0.0001711019,0.0003872767,0.0004077592,0.0001035052],"domain_scores_gemma":[0.9908702,0.001574998,0.001482804,0.001441158,0.004047444,0.0005834055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01004435,0.00202811,0.6954409,0.001009224,0.001556755,0.001187148,0.00563482,0.009665789,0.1074696,0.0006924056,0.006086491,0.1591844],"study_design_scores_gemma":[0.0003894674,0.01425851,0.9317022,0.0001110476,0.0007583404,0.002564408,0.002141889,0.006494096,0.03617255,0.0002231625,0.005074565,0.0001096265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927332,0.000139002,0.005518408,0.00006024045,0.00001020286,0.0002312821,0.0002351085,0.00007036208,0.001002236],"genre_scores_gemma":[0.9940806,0.00008081239,0.004803418,0.00006200125,0.00001200771,0.0001825881,0.0004688457,0.00005061056,0.0002592132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006698373,"threshold_uncertainty_score":0.03542477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495959397421292,"score_gpt":0.3721873823581262,"score_spread":0.3372277883839133,"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."}}