{"id":"W2953691333","doi":"10.1002/glia.23661","title":"White matter plasticity and maturation in human cognition","year":2019,"lang":"en","type":"review","venue":"Glia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; University of Toronto; University Health Network; SickKids Foundation; McGill University; Mental Health Research Canada; Hospital for Sick Children","funders":"Ontario Institute for Regenerative Medicine","keywords":"White matter; Cognition; Neuroscience; Psychology; Biology; Neuroplasticity; Cognitive psychology; Developmental psychology; Medicine; Magnetic resonance imaging","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":[0.0005180232,0.0007956976,0.0008743819,0.001962516,0.0002479216,0.0008749765,0.000671234,0.001279218,0.002390423],"category_scores_gemma":[0.0007838103,0.0001989138,0.0003644905,0.001847569,0.0008899184,0.001024746,0.0006823224,0.001197289,0.001427488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007124786,"about_ca_system_score_gemma":0.001338498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797429,"about_ca_topic_score_gemma":0.002082183,"domain_scores_codex":[0.9998765,0.00002712144,0.0000216363,0.00002918482,0.00003368616,0.00001171174],"domain_scores_gemma":[0.9997335,0.0001379802,0.00004144062,0.000009967797,0.00005391084,0.00002323092],"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":[0.00005506276,0.00003666698,0.0003288733,0.01456207,0.00008165579,0.0001681983,0.00008386578,0.000452145,0.001191107,0.007026042,0.01569412,0.9603201],"study_design_scores_gemma":[0.00001859155,0.0001481624,0.006328214,0.008965077,0.0001458436,0.002429842,0.0001617146,0.0001980738,0.0007642753,0.0171039,0.9636956,0.00004065402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009816558,0.9989529,0.00008485217,0.0002217218,0.00008844408,0.000002250258,0.000008091227,0.000004219129,0.0005394222],"genre_scores_gemma":[0.0009719414,0.9983906,0.0001193194,0.0000902857,0.0001323249,0.000005460727,0.00001185183,0.000001021814,0.0002772873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002390423,"threshold_uncertainty_score":0.007996738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338616255606293,"score_gpt":0.4203117755383539,"score_spread":0.2864501499777246,"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."}}