{"id":"W1965400726","doi":"10.1016/j.neuroimage.2006.04.187","title":"Diffusion tensor imaging of time-dependent axonal and myelin degradation after corpus callosotomy in epilepsy patients","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":285,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; National Institutes of Health; University of Alberta","keywords":"White matter; Diffusion MRI; Corpus callosum; Fractional anisotropy; Myelin; Neuroscience; Tractography; Magnetic resonance imaging; Psychology; Medicine; Radiology; Central nervous system","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":[0.0002736588,0.0003258667,0.0003962079,0.0006582905,0.0004980642,0.000327949,0.0003009212,0.0006414189,0.001188967],"category_scores_gemma":[0.001938194,0.0002018846,0.000302963,0.0005687515,0.0005162492,0.0006480223,0.0001905921,0.0006075653,0.0001963578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749798,"about_ca_system_score_gemma":0.0004854406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001782,"about_ca_topic_score_gemma":0.01036928,"domain_scores_codex":[0.9998988,0.00001241758,0.00001612485,0.00001488429,0.00001707155,0.00004077921],"domain_scores_gemma":[0.9994659,0.0001465063,0.0001665861,0.00003520584,0.00006195239,0.0001238658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01862892,0.0009986929,0.835535,0.0001715394,0.0003796459,0.08350503,0.001758142,0.001218346,0.03296802,0.0003182261,0.0009560603,0.02356227],"study_design_scores_gemma":[0.000120364,0.0009292709,0.9732776,0.000008979972,0.0001163252,0.02209404,0.000418629,0.0004117366,0.002140442,0.0001492627,0.0003087976,0.00002452799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991291,0.0001354197,0.00003303216,0.00005892387,0.000004944681,0.00000584483,0.00005185148,0.000002215981,0.0005786722],"genre_scores_gemma":[0.9996031,0.00008706469,0.00002143424,0.00002334631,0.0000093919,0.000003808462,0.0000913671,0.000001801481,0.0001586641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001782,"threshold_uncertainty_score":0.01991898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363107948593135,"score_gpt":0.2664515432814151,"score_spread":0.2528204637954838,"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."}}