{"id":"W4415542041","doi":"10.1016/j.ynirp.2025.100298","title":"Relaxation-compensated chemical exchange saturation transfer MRI in the cervical spinal cord at 3T: An application in multiple sclerosis","year":2025,"lang":"en","type":"article","venue":"Neuroimage Reports","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institute of Biomedical Imaging and Bioengineering; Vanderbilt University; Society for Anthropological Sciences; National Institutes of Health; National Multiple Sclerosis Society","keywords":"Multiple sclerosis; Spinal cord; Magnetization transfer; Central nervous system; Magnetic resonance imaging; Central nervous system disease; Relaxometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577097,0.0003196232,0.0003898873,0.0006698664,0.0004445181,0.0003215447,0.0003377725,0.0006576274,0.0006860103],"category_scores_gemma":[0.0007627837,0.0001692814,0.0002877912,0.0008893142,0.0002838674,0.0002550203,0.0002575662,0.0002737415,0.0001654607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119979,"about_ca_system_score_gemma":0.0005596216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071487,"about_ca_topic_score_gemma":0.01285282,"domain_scores_codex":[0.999917,0.00002106194,0.000004144046,0.00002376402,0.00002378295,0.00001015903],"domain_scores_gemma":[0.9998651,0.00003319207,0.00002124402,0.00001611379,0.00004699085,0.00001739123],"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":[0.001609171,0.00009334876,0.01149313,0.0007978663,0.0001458641,0.001428799,0.0006033424,0.004283779,0.8581113,0.0005265712,0.0009278061,0.1199791],"study_design_scores_gemma":[0.0003629016,0.002954654,0.4420989,0.0002214297,0.001166465,0.01100222,0.0008515426,0.08826682,0.4294762,0.004016668,0.01928616,0.0002962238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9575903,0.01083759,0.02792429,0.0005548138,0.00003869855,0.0001273229,0.0004487155,0.0003530329,0.002125195],"genre_scores_gemma":[0.9394332,0.009461075,0.0484477,0.0001610541,0.00006005528,0.0001134982,0.0005019886,0.0000908819,0.001730583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01071487,"threshold_uncertainty_score":0.02130497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04856834566044593,"score_gpt":0.2772030321014736,"score_spread":0.2286346864410276,"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."}}