{"id":"W3216140919","doi":"10.1002/brb3.2433","title":"Frontal interhemispheric structural connectivity, attention, and executive function in children with perinatal stroke","year":2021,"lang":"en","type":"article","venue":"Brain and Behavior","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary; Alberta Children's Hospital","funders":"Canadian Institutes of Health Research; Alberta Innovates; Heart and Stroke Foundation of Canada","keywords":"Executive dysfunction; Tractography; Stroke (engine); White matter; Cognition; Diffusion MRI; Psychology; Executive functions; Attention deficit hyperactivity disorder; Rating scale; Frontal lobe; Neuroimaging; Medicine; Neuroscience; Clinical psychology; Neuropsychology; Magnetic resonance imaging; Developmental psychology; 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":[0.0002742407,0.0002606741,0.0002348499,0.0008461924,0.0002918669,0.0003926692,0.0002236446,0.0002624076,0.001002783],"category_scores_gemma":[0.001302875,0.0001910411,0.0001807533,0.0005891434,0.0003363313,0.0002742525,0.0002977546,0.0003227358,0.0001332496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970893,"about_ca_system_score_gemma":0.0002855732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846944,"about_ca_topic_score_gemma":0.02029777,"domain_scores_codex":[0.9998584,0.00002766101,0.00001657967,0.00003429816,0.00003119367,0.00003180178],"domain_scores_gemma":[0.9996161,0.00007954006,0.000186758,0.00002100359,0.00003860793,0.00005793273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007331466,0.00003363229,0.9960294,0.00001048038,0.00002676382,0.000432405,0.0002610825,0.00005012181,0.000710186,0.00002884728,0.00004592437,0.002297844],"study_design_scores_gemma":[0.000001004376,0.00003977257,0.999118,0.000004484329,0.00001009943,0.0003911501,0.0002092694,0.00004910198,0.000124148,0.00001656065,0.00003513972,0.000001137839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996006,0.0001090053,0.00003509948,0.00001589215,9.175429e-7,0.000002504874,0.00008616584,0.000001494586,0.0001482647],"genre_scores_gemma":[0.9994382,0.0001964462,0.0001032485,0.000008733841,0.00000169685,0.000006085539,0.0001291929,0.000001475391,0.0001148104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846944,"threshold_uncertainty_score":0.03672391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785670701827037,"score_gpt":0.2981783903366468,"score_spread":0.2803216833183764,"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."}}