{"id":"W1922511293","doi":"10.3171/2015.1.peds14597","title":"Relationship between ventricular size, white matter injury, and neurocognition in children with stable, treated hydrocephalus","year":2015,"lang":"en","type":"article","venue":"Journal of Neurosurgery Pediatrics","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Hydrocephalus; Neurocognitive; Asymptomatic; White matter; Prospective cohort study; Diffusion MRI; Cardiology; Pediatrics; Radiology; Surgery; Magnetic resonance imaging; Cognition; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005063728,0.0002606491,0.000434247,0.000825642,0.0001027556,0.0001439186,0.0001920712,0.000109666,0.00001676923],"category_scores_gemma":[0.001438024,0.0002181027,0.00009147861,0.001828808,0.00007437736,0.0007468981,0.00006639671,0.0006086958,0.00002653458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006910958,"about_ca_system_score_gemma":0.0001467725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000937559,"about_ca_topic_score_gemma":9.342368e-7,"domain_scores_codex":[0.9974675,0.0002874185,0.0007723079,0.000352556,0.0007343582,0.0003859239],"domain_scores_gemma":[0.9979861,0.0007317857,0.0005872688,0.0001690253,0.0001527238,0.0003731289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000189309,0.0001130091,0.9974274,0.00001661538,0.000003128447,0.0002983509,0.00004496467,0.0001389175,0.0002672837,0.000004461059,0.001420075,0.00007650494],"study_design_scores_gemma":[0.001207781,0.0004756352,0.995382,0.00001770192,0.0001197393,0.001536426,0.000008546002,0.00003244797,0.0006328287,0.000219707,0.0001359124,0.0002312791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988656,0.0001427888,0.00003614186,0.0003232509,0.0001783468,0.0002169402,0.00003337887,0.00002435993,0.0001791854],"genre_scores_gemma":[0.9987157,0.00009978106,0.00004040205,0.000523315,0.0004685024,0.000003313813,0.000004029497,0.00004448225,0.0001004456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002045386,"threshold_uncertainty_score":0.8893971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053376634777015,"score_gpt":0.2518173086938769,"score_spread":0.2212835423461067,"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."}}