{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219168,0.0002308914,0.0007277016,0.0001624291,0.00008168507,0.00001475764,0.00006957231,0.00002712272,0.0000243628],"category_scores_gemma":[0.00005203715,0.0001646264,0.00005944035,0.0002435629,0.0001281858,0.0000918843,0.00008753352,0.0002480978,2.434706e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003695319,"about_ca_system_score_gemma":0.0001019127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002782963,"about_ca_topic_score_gemma":0.000002597496,"domain_scores_codex":[0.9989798,0.0001156061,0.0002883661,0.000373954,0.0001051072,0.0001371586],"domain_scores_gemma":[0.9989492,0.0003122469,0.0002863338,0.0003414667,0.00003867853,0.00007206344],"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":[0.00001332361,0.00004271603,0.00002470729,0.005284507,0.00002246796,0.00001615255,0.0001069219,4.755438e-8,0.00003555757,0.004091791,0.0001277039,0.9902341],"study_design_scores_gemma":[0.0001277055,0.0003176296,0.00001107697,0.004126221,0.0001680303,0.0005152842,0.0001271069,0.00002883202,0.00006879936,0.0007371433,0.9936064,0.0001657751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004463139,0.9948075,0.002920561,0.000305403,0.000005181559,0.001263923,0.0001594432,0.000159974,0.0003334261],"genre_scores_gemma":[0.00001992623,0.9567469,0.04246986,0.00009639835,0.00001928349,0.0002764275,0.0002719864,0.00005517352,0.00004403921],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9934787,"threshold_uncertainty_score":0.671327,"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."}}