{"id":"W2030216510","doi":"10.1016/j.tins.2009.05.010","title":"From selective vulnerability to connectivity: insights from newborn brain imaging","year":2009,"lang":"en","type":"article","venue":"Trends in Neurosciences","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Vulnerability (computing); White matter; Brain development; Brain Structure and Function; Psychology; Grey matter; Brain function; Neuroimaging; Human brain; Traumatic brain injury; Functional connectivity; Medicine; Magnetic resonance imaging; Psychiatry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003985342,0.0004560717,0.0003192429,0.001054349,0.0003532532,0.0006380834,0.000459614,0.0005911241,0.00155542],"category_scores_gemma":[0.00169077,0.0002988692,0.0002369362,0.0004705974,0.0009047127,0.001641238,0.0007167161,0.001000361,0.0001692625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025722,"about_ca_system_score_gemma":0.0002529706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068876,"about_ca_topic_score_gemma":0.001851405,"domain_scores_codex":[0.9999156,0.00001687528,0.000005134746,0.00002432477,0.00002003057,0.00001801112],"domain_scores_gemma":[0.999575,0.0002054637,0.00007676485,0.0000447211,0.00005152136,0.00004668054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002840723,0.00005724165,0.0348499,0.0007687179,0.0001494486,0.007037917,0.001190555,0.002083884,0.7282735,0.0180675,0.00317143,0.2040659],"study_design_scores_gemma":[0.0000496856,0.0007293688,0.4360549,0.0007660037,0.0004562468,0.05955886,0.003116873,0.01650449,0.3384663,0.1231003,0.02101143,0.0001853999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798199,0.04233084,0.1344569,0.00491669,0.00021133,0.00005301696,0.0007659534,0.000365766,0.01870046],"genre_scores_gemma":[0.9576429,0.0226048,0.0169705,0.0004254262,0.0001948392,0.00004920204,0.0002306701,0.0001348634,0.001746708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00155542,"threshold_uncertainty_score":0.005203366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186151222911599,"score_gpt":0.3150198251745926,"score_spread":0.2931583129454767,"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."}}