{"id":"W4309508399","doi":"10.1093/brain/awac436","title":"Quantitative myelin imaging with MRI and PET: an overview of techniques and their validation status","year":2022,"lang":"en","type":"review","venue":"Brain","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Stichting MS Research; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Research Chairs; Università degli Studi G. d'Annunzio Chieti - Pescara; ZonMw; Dipartimenti di Eccellenza","keywords":"Neuroscience; Positron emission tomography; Magnetic resonance imaging; Pet imaging; Myelin; Psychology; Medicine; Medical physics; Radiology; Central nervous system","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":[0.001451488,0.001098532,0.001531549,0.003256298,0.000228435,0.001313595,0.0009218854,0.001378263,0.00256591],"category_scores_gemma":[0.001867527,0.0004880874,0.0007616216,0.002993197,0.0006703955,0.002104991,0.0006416145,0.001860228,0.001818397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836377,"about_ca_system_score_gemma":0.00149969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295298,"about_ca_topic_score_gemma":0.00124826,"domain_scores_codex":[0.9995939,0.00007858091,0.00006574704,0.00008678833,0.0001436458,0.00003132848],"domain_scores_gemma":[0.9988862,0.0007368766,0.00007892748,0.00002949077,0.0002352877,0.00003326168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000103148,0.00007616897,0.000316178,0.02298874,0.0001176994,0.0002181153,0.00007321851,0.0003602882,0.003736874,0.003688828,0.01392565,0.9543951],"study_design_scores_gemma":[0.00002179695,0.0002371518,0.001617918,0.006194633,0.0003431496,0.004070591,0.00009074841,0.0003427838,0.003307027,0.003467056,0.9802349,0.00007212194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001346679,0.9984667,0.000361873,0.0001866021,0.00009684624,0.000006783591,0.00002701288,0.00001128826,0.0007082099],"genre_scores_gemma":[0.0006829206,0.9977955,0.0008078728,0.0001602666,0.0001677568,0.00001773247,0.00005090498,0.000004748766,0.0003124065],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003256298,"threshold_uncertainty_score":0.008583844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2278859356535085,"score_gpt":0.4652232967262671,"score_spread":0.2373373610727585,"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."}}