{"id":"W2325818210","doi":"10.1177/1352458515596600","title":"Diffusion tensor magnetic resonance imaging in very early onset pediatric multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Montreal Neurological Institute and Hospital; Hospital for Sick Children","funders":"","keywords":"Diffusion MRI; Corpus callosum; Fractional anisotropy; White matter; Multiple sclerosis; Magnetic resonance imaging; Medicine; Corticospinal tract; Uncinate fasciculus; Pathology; Nuclear medicine; 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":[0.0005263414,0.0003958591,0.0002275978,0.0005675166,0.0001807318,0.0002692667,0.000126335,0.0001951454,0.0005729882],"category_scores_gemma":[0.001744795,0.0001482877,0.0001968966,0.0004544673,0.0002165705,0.0003270632,0.0002123137,0.0002225812,0.0001100508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589081,"about_ca_system_score_gemma":0.0003779372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264261,"about_ca_topic_score_gemma":0.003733644,"domain_scores_codex":[0.9998159,0.00006467965,0.00001975709,0.00003486212,0.00003677341,0.00002800876],"domain_scores_gemma":[0.9993622,0.0001230714,0.0004003277,0.00002119853,0.00005178385,0.00004144814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598156,0.00003842461,0.9807185,0.0001024859,0.00006599633,0.00159683,0.0002640158,0.0004256501,0.004026042,0.0001478793,0.0001934567,0.01226095],"study_design_scores_gemma":[0.000006022507,0.0001619403,0.9920839,0.00002688111,0.00004705685,0.005482267,0.0001401832,0.0004604213,0.00112155,0.00008100642,0.0003855272,0.000003328277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982065,0.001004811,0.0003349946,0.00005655895,0.000002820785,0.000005475164,0.0001317048,0.000009404133,0.0002477271],"genre_scores_gemma":[0.9979231,0.0007756848,0.001043575,0.000009185799,0.000005894085,0.000006371901,0.00015461,0.000004198107,0.00007733127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003264261,"threshold_uncertainty_score":0.006490469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058440367617487,"score_gpt":0.2865592624331388,"score_spread":0.1807152256713902,"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."}}