{"id":"W1973562248","doi":"10.1016/j.neuroimage.2006.07.024","title":"White matter growth as a mechanism of cognitive development in children","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Hospital for Sick Children; SickKids Foundation; McMaster University; University of Toronto","funders":"Sick Kids Foundation","keywords":"White matter; Fractional anisotropy; Diffusion MRI; Psychology; Cognition; Cognitive psychology; Neuroscience; Developmental psychology; Audiology; Magnetic resonance imaging; Medicine","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":[0.000608487,0.0006119192,0.0003052261,0.002166047,0.0004177524,0.0007107855,0.0005537793,0.0004950351,0.001034949],"category_scores_gemma":[0.001843484,0.0003770588,0.0003045378,0.0007973649,0.001160022,0.001076955,0.0004524323,0.0006574497,0.0001714526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466037,"about_ca_system_score_gemma":0.001133083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204202,"about_ca_topic_score_gemma":0.006273162,"domain_scores_codex":[0.9998063,0.00003639282,0.00001846135,0.0000447705,0.00005428589,0.0000398024],"domain_scores_gemma":[0.9991429,0.0002202353,0.0003716512,0.00004925155,0.0001566063,0.00005940978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001120136,0.0002541846,0.8247787,0.0003491924,0.0001858196,0.006289664,0.001947375,0.003735729,0.08043655,0.01059602,0.001630243,0.06867635],"study_design_scores_gemma":[0.00002109718,0.0002949653,0.94903,0.00006728571,0.0001215285,0.005871182,0.001169103,0.002349238,0.03575261,0.003885356,0.001410322,0.00002728565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939463,0.001946668,0.001061923,0.0002997181,0.00001487384,0.00001267018,0.0003156243,0.00005992578,0.0023423],"genre_scores_gemma":[0.9951012,0.001802926,0.001885736,0.0000258137,0.00001300596,0.00002017491,0.0001455111,0.00002519928,0.000980431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204202,"threshold_uncertainty_score":0.02394384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939814305289036,"score_gpt":0.2917207251316383,"score_spread":0.2723225820787479,"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."}}