{"id":"W2900930986","doi":"10.1016/j.nicl.2018.11.006","title":"White matter injury predicts disrupted functional connectivity and microstructure in very preterm born neonates","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Canada Research Chairs; SickKids Foundation; University of Toronto; Children's Hospital of Western Ontario; Hospital for Sick Children; Western University","funders":"Canadian Institutes of Health Research; Ontario Brain Institute","keywords":"White matter; Corpus callosum; Fractional anisotropy; Corona radiata (embryology); Diffusion MRI; Interquartile range; Fasciculus; Medicine; Magnetic resonance imaging; Connectome; Diffuse axonal injury; Anatomy; Neuroscience; Functional connectivity; Internal medicine; Psychology; Traumatic brain injury; Radiology","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":[0.0001958717,0.0001842074,0.0003199914,0.0000836653,0.00008518634,0.00002978331,0.00008998103,0.000137962,0.0001684516],"category_scores_gemma":[0.0003153953,0.000165167,0.00008185815,0.0001826092,0.0006196953,0.0001402306,0.0001575079,0.0006384098,0.00003888234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001828393,"about_ca_system_score_gemma":0.00004421637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005063807,"about_ca_topic_score_gemma":0.000004443425,"domain_scores_codex":[0.9984187,0.00008773243,0.000441622,0.0006616568,0.0001417065,0.000248556],"domain_scores_gemma":[0.9988968,0.0002708996,0.0001038888,0.0004819286,0.00009456257,0.000151902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005066641,0.0001401965,0.9798514,0.00002519288,0.000006945558,0.00003757261,0.00002619577,2.32189e-7,0.00686626,0.00003123061,0.00942549,0.003082661],"study_design_scores_gemma":[0.0009904099,0.0004515554,0.989388,0.00004886938,0.00003043238,0.0001851865,0.00000455982,0.0004059406,0.0007546107,0.0009026411,0.006704915,0.0001328203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929306,0.00002766877,0.001191769,0.004173665,0.000222907,0.0004662969,0.00006077659,0.000173619,0.0007527139],"genre_scores_gemma":[0.9900358,0.00005241475,0.002968431,0.006110856,0.0004046869,0.00003202135,0.00003048865,0.00003761975,0.0003277036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009536699,"threshold_uncertainty_score":0.6735317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06051169516384242,"score_gpt":0.3845515843053998,"score_spread":0.3240398891415574,"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."}}