{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002673535,0.0001258006,0.0004272948,0.00009559352,0.00002345777,0.00001218974,0.00003130025,0.00009294481,0.00006363164],"category_scores_gemma":[0.000007003246,0.0001054175,0.00004699882,0.00009175306,0.00002230229,0.00003600345,0.00002719455,0.0002424486,0.0001042067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000293001,"about_ca_system_score_gemma":0.0000158281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001841535,"about_ca_topic_score_gemma":9.41137e-7,"domain_scores_codex":[0.9994248,0.00001517931,0.0002017686,0.0002160256,0.0000559614,0.00008632679],"domain_scores_gemma":[0.9997008,0.00002267963,0.00009434085,0.0001384976,0.00001739229,0.00002629556],"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":[0.0000571892,0.0003009163,0.003039077,0.07481407,0.00006569333,0.00006309468,0.00007892885,6.379667e-7,0.0001625143,0.001743793,0.02687393,0.8928002],"study_design_scores_gemma":[0.0002164195,0.000038759,0.005298802,0.009250899,0.00041261,0.0001088663,0.000001837301,0.00001270066,0.000005599582,0.0005652838,0.9839116,0.0001766608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002377483,0.9886252,0.002288388,0.0002893569,0.00006100111,0.002470987,0.00008118639,0.0001617996,0.005784354],"genre_scores_gemma":[0.0005174006,0.996387,0.00137815,0.0001931006,0.00007114767,0.0001453796,0.0003355065,0.00003098241,0.0009413256],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9570376,"threshold_uncertainty_score":0.4298799,"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."}}