{"id":"W3120261134","doi":"10.1038/s41598-020-79540-3","title":"An atlas for human brain myelin content throughout the adult life span","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Multiple Sclerosis Society; Natural Sciences and Engineering Research Council of Canada; Vancouver Coastal Health Research Institute; Multiple Sclerosis Society of Canada; Michael Smith Health Research BC","keywords":"Myelin; Neuroimaging; Context (archaeology); White matter; Content (measure theory); Biology; Life span; Neuroscience; Magnetic resonance imaging; Medicine; Evolutionary biology; Central nervous system; Mathematics","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":[0.0009018587,0.0004731225,0.0003449928,0.002259893,0.0005127889,0.001061211,0.0006102211,0.0005503579,0.01349328],"category_scores_gemma":[0.001921652,0.0003276134,0.0004725809,0.001927697,0.0002794613,0.0006293128,0.0008085673,0.0004885026,0.004012162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005845025,"about_ca_system_score_gemma":0.001260838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004625843,"about_ca_topic_score_gemma":0.007990901,"domain_scores_codex":[0.9997178,0.00006070409,0.00003558665,0.00008475903,0.00007642079,0.00002471324],"domain_scores_gemma":[0.9994164,0.0001387353,0.00008807419,0.0001160113,0.0002098522,0.00003104609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001255432,0.0001691376,0.04428543,0.00243286,0.0005769716,0.001757785,0.003221436,0.01765913,0.09609188,0.03548294,0.2254837,0.5715834],"study_design_scores_gemma":[0.0001677757,0.0005020771,0.2825474,0.0006119262,0.000454728,0.01231246,0.0009337971,0.04734953,0.04107379,0.04010221,0.5736749,0.0002693291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1676721,0.003558955,0.6554881,0.0006703024,0.0002810461,0.001036103,0.1128824,0.01768144,0.04072958],"genre_scores_gemma":[0.3585629,0.00196872,0.5543664,0.0002858275,0.00009577932,0.002737193,0.05361598,0.004202371,0.02416489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01349328,"threshold_uncertainty_score":0.04513949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303261774132961,"score_gpt":0.4150828116473342,"score_spread":0.2847566342340381,"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."}}