{"id":"W2807852901","doi":"10.1016/j.neuroimage.2018.06.004","title":"White matter injury in term neonates with congenital heart diseases: Topology & comparison with preterm newborns","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Hospital for Sick Children; University of British Columbia; SickKids Foundation; BC Children's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; March of Dimes Foundation; National Institutes of Health; Olga Mayenfisch Stiftung; Larry L. Hillblom Foundation; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; American Heart Association","keywords":"White matter; Medicine; Term (time); Pediatrics; Cardiology; Topology (electrical circuits); Internal medicine; Physics; Mathematics; Magnetic resonance imaging; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000544766,0.0003869656,0.0003458721,0.002433919,0.0004506931,0.0008941478,0.0003711773,0.0005822262,0.002318585],"category_scores_gemma":[0.002630398,0.0002087682,0.0003645249,0.001355555,0.0007063968,0.0007776831,0.0008581451,0.0003829538,0.0002322356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005974692,"about_ca_system_score_gemma":0.0003866557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00528042,"about_ca_topic_score_gemma":0.005832872,"domain_scores_codex":[0.9997475,0.00004948947,0.00004378628,0.00006148782,0.00005426877,0.00004356673],"domain_scores_gemma":[0.9991273,0.0001631194,0.0003923368,0.00007029348,0.00009079267,0.0001562039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005461717,0.00007077463,0.9904287,0.00005306313,0.0001311135,0.00094127,0.0005990522,0.00008913878,0.00180659,0.0001794237,0.00004963572,0.005105067],"study_design_scores_gemma":[0.000005512213,0.0002391536,0.9965699,0.00002022817,0.00005828221,0.001476724,0.0009813912,0.00006522643,0.0003726794,0.00009003223,0.0001162209,0.000004671293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989368,0.0002987255,0.00003405748,0.00001538111,0.000002357933,0.000002759734,0.00008206707,9.802461e-7,0.0006268451],"genre_scores_gemma":[0.9991668,0.0003327508,0.00007703545,0.00001159096,0.000007844505,0.000008867389,0.0001294841,0.000002546422,0.0002629854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00528042,"threshold_uncertainty_score":0.01049936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598640747798366,"score_gpt":0.2971388933793503,"score_spread":0.2811524859013667,"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."}}