{"id":"W3145462186","doi":"10.1093/braincomms/fcab066","title":"Early nutrition and white matter microstructure in children born very low birth weight","year":2021,"lang":"en","type":"article","venue":"Brain Communications","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; SickKids Foundation; Holland Bloorview Kids Rehabilitation Hospital; Hospital for Sick Children; University of Toronto","funders":"Sickkids Research Institute; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Low birth weight; Prospective cohort study; Medicine; White matter; Pediatrics; Birth weight; Cohort; Cohort study; Pregnancy; Internal medicine; Magnetic resonance imaging; Biology","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":[0.00007737489,0.00009995989,0.0001757815,0.00009634439,0.0001006211,0.00002255122,0.0001689219,0.0001022192,0.0001427641],"category_scores_gemma":[0.00004849831,0.00009788956,0.00004378279,0.0002495646,0.0001837706,0.00008100744,0.0002582784,0.0003198703,0.00006007326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000021527,"about_ca_system_score_gemma":0.00004252096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002662566,"about_ca_topic_score_gemma":0.00006741257,"domain_scores_codex":[0.9992874,0.000116701,0.0001846572,0.0001951958,0.00006598558,0.0001500415],"domain_scores_gemma":[0.9988277,0.0001105368,0.00003829054,0.0009036405,0.00005463593,0.0000651811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004328823,0.0003709103,0.965933,0.00009924562,0.00004203599,0.00004089718,0.0008528177,2.448831e-7,0.02085056,0.0008249808,0.005868064,0.005073951],"study_design_scores_gemma":[0.00127418,0.00002564416,0.9808554,0.0001151659,0.00001367555,0.000782461,0.00006732364,0.00001551595,0.00040157,0.001079364,0.01527133,0.00009835437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459204,0.004395068,0.00003094792,0.04657558,0.00003566244,0.0003066098,0.0001011829,0.00003294921,0.002601579],"genre_scores_gemma":[0.9871493,0.0006717188,0.004311163,0.00542868,0.00005016686,0.00004113234,0.0005166244,0.00001763321,0.00181359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04122888,"threshold_uncertainty_score":0.399182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00778984065042862,"score_gpt":0.2431033356523562,"score_spread":0.2353134950019276,"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."}}