{"id":"W4409474216","doi":"10.1002/nbm.70037","title":"Whole Brain 3D T1 Mapping in Multiple Sclerosis Using Standard Clinical Images Compared to MP2RAGE and MR Fingerprinting","year":2025,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Fluid-attenuated inversion recovery; White matter; Multiple sclerosis; Voxel; Putamen; Magnetic resonance imaging; Nuclear medicine; Gold standard (test); Medicine; Relaxometry; Artificial intelligence; Pattern recognition (psychology); Nuclear magnetic resonance; Computer science; Radiology; Spin echo; Physics; Internal medicine","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":[0.0008664019,0.0001535073,0.000530293,0.0005414479,0.00007461085,0.00001421165,0.00009519732,0.0001054181,0.00001508867],"category_scores_gemma":[0.0006405492,0.0001424272,0.00003786759,0.001061836,0.0001822355,0.00005170987,0.000159575,0.0003156546,0.000002288078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485344,"about_ca_system_score_gemma":0.00006384178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002046744,"about_ca_topic_score_gemma":0.00006064646,"domain_scores_codex":[0.9984103,0.00004108672,0.0006812064,0.0004149229,0.0001596021,0.0002928991],"domain_scores_gemma":[0.9990628,0.0003614209,0.00008755215,0.0002988558,0.00006584645,0.0001235131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002370103,0.0002889915,0.3982549,0.0002300678,0.00001852683,0.00004588775,0.0005621997,0.0001938921,0.4542454,0.0001321555,0.005301836,0.1404891],"study_design_scores_gemma":[0.01044495,0.0003407702,0.8504592,0.009362524,0.00006242139,0.00001989306,0.001948641,0.02702619,0.0105339,0.0007086436,0.08862466,0.0004682686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900871,0.0003515448,0.1956693,0.0125319,0.0000594611,0.0008041802,0.00002264886,0.0000929525,0.0003809544],"genre_scores_gemma":[0.8456943,0.00008970781,0.1516296,0.002239314,0.00009112026,0.00004811761,0.00002059023,0.00001639795,0.0001708141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4522042,"threshold_uncertainty_score":0.5808012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107343544695972,"score_gpt":0.4120392513421627,"score_spread":0.3046957066461907,"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."}}