{"id":"W3109777251","doi":"10.1093/braincomms/fcaa209","title":"Delayed maturation of the structural brain connectome in neonates with congenital heart disease","year":2020,"lang":"en","type":"article","venue":"Brain Communications","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Connectome; Medicine; Connectomics; White matter; Diffusion MRI; Fractional anisotropy; Heart disease; Confounding; Perioperative; Cohort; Tractography; Bayley Scales of Infant Development; Pediatrics; Cardiology; Magnetic resonance imaging; Internal medicine; Neuroscience; Psychology; Surgery; Cognition; Psychiatry; Radiology","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":[0.0006646627,0.0002548234,0.0002820905,0.0007086847,0.0002315786,0.0004317541,0.0002498447,0.0002449819,0.001336784],"category_scores_gemma":[0.002761045,0.0001271325,0.00024177,0.0003658707,0.0003587645,0.0003486116,0.0004486103,0.0004032737,0.00008719231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427498,"about_ca_system_score_gemma":0.0002676902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897569,"about_ca_topic_score_gemma":0.001526001,"domain_scores_codex":[0.9997097,0.00006197423,0.00003426873,0.00008525856,0.00006136079,0.00004739411],"domain_scores_gemma":[0.9985284,0.0003241427,0.0007408329,0.0001142502,0.0001277752,0.0001646257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003471826,0.00002810428,0.9880235,0.00002444851,0.00004255393,0.0009793823,0.0001850502,0.0001847672,0.005802692,0.0001067447,0.00005328929,0.004222299],"study_design_scores_gemma":[0.000002044734,0.0001318412,0.9972816,0.000008707601,0.00001152092,0.001249142,0.0001273224,0.0002405419,0.0008292628,0.00005736734,0.00005723459,0.000003542031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996574,0.00007561094,0.00012242,0.00000789935,0.000001601827,0.000001865158,0.00007067314,0.000001826391,0.00006076147],"genre_scores_gemma":[0.9995434,0.00008267481,0.00017702,0.000004670853,0.000002768386,0.000005962659,0.0001233851,0.00000228309,0.00005786545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001897569,"threshold_uncertainty_score":0.004471958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279137899612311,"score_gpt":0.2980664843457251,"score_spread":0.270152694384494,"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."}}