{"id":"W2270284806","doi":"10.1007/s00234-015-1625-2","title":"Diffusion tensor imaging-based assessment of white matter tracts and visual-motor outcomes in very preterm neonates","year":2015,"lang":"en","type":"article","venue":"Neuroradiology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Diffusion MRI; Neuroradiology; Medicine; White matter; Neurology; Neurosurgery; Fractional anisotropy; Neuroimaging; Neuroscience; Magnetic resonance imaging; Radiology; Psychology; Psychiatry","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":[0.001495299,0.0004740233,0.0003859042,0.001402081,0.0004257393,0.00098216,0.000689812,0.0008035922,0.0005152806],"category_scores_gemma":[0.007218517,0.000208954,0.0004044966,0.00078297,0.0007309462,0.0008132585,0.0009918512,0.0007773197,0.0001281708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096273,"about_ca_system_score_gemma":0.0007315609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008498372,"about_ca_topic_score_gemma":0.007900259,"domain_scores_codex":[0.9993492,0.0001836703,0.0001162192,0.0001020113,0.0001515657,0.00009733711],"domain_scores_gemma":[0.9978284,0.0004393139,0.001033184,0.00009990622,0.0002824545,0.0003166248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002380613,0.00007538416,0.9929506,0.00002650003,0.00007179527,0.0007476461,0.0002397146,0.0003053239,0.001190211,0.0001071549,0.00007038226,0.003977179],"study_design_scores_gemma":[0.000005064647,0.0001993803,0.9959283,0.00003957405,0.00004076855,0.001289409,0.0006394458,0.000669463,0.0008661409,0.0002267062,0.00008392492,0.00001179166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992089,0.0002195526,0.00009225258,0.00003804312,0.000004204936,0.000004237601,0.00007157754,0.000002160374,0.0003592269],"genre_scores_gemma":[0.9994106,0.0001883453,0.000152206,0.00001459192,0.000005042506,0.000006930888,0.000105194,0.000001928559,0.0001151533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008498372,"threshold_uncertainty_score":0.0168978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523025862282688,"score_gpt":0.2986913203413004,"score_spread":0.2834610617184735,"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."}}