{"id":"W2141293175","doi":"10.1017/s0317167100005801","title":"Tumor Effects on Cerebral White Matter as Characterized by Diffusion Tensor Tractography","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; Western University","funders":"","keywords":"White matter; Diffusion MRI; Corticospinal tract; Anaplastic astrocytoma; Astrocytoma; Corpus callosum; Tractography; Brain tumor; Pathology; Infiltration (HVAC); Fiber tract; Glioma; Medicine; Magnetic resonance imaging; Radiology; Materials science; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003319425,0.0002279607,0.00009712818,0.0005542799,0.0001606998,0.0002895184,0.00008398915,0.0001651919,0.0005548225],"category_scores_gemma":[0.001494389,0.0001070047,0.0001059143,0.0003090877,0.0003717214,0.0002536654,0.0001418152,0.0001698978,0.0001342743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005056122,"about_ca_system_score_gemma":0.0004175635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005826171,"about_ca_topic_score_gemma":0.007455423,"domain_scores_codex":[0.9999068,0.00002232034,0.000006941627,0.00001421788,0.00003361581,0.00001613378],"domain_scores_gemma":[0.9995291,0.000110189,0.0002182553,0.00003839818,0.00006620131,0.00003782122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001417561,0.00009675082,0.4160621,0.0002351002,0.0002540293,0.006962121,0.0008768539,0.008101366,0.5172954,0.001295363,0.0005381919,0.04686526],"study_design_scores_gemma":[0.00004229852,0.0006079389,0.812129,0.00003143033,0.0001966988,0.01711151,0.0002136646,0.01391733,0.1517298,0.0009325291,0.003047734,0.00003997673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955328,0.000338958,0.003245141,0.00002881805,0.00000264254,0.0000186725,0.000110375,0.0000342935,0.0006885004],"genre_scores_gemma":[0.9981623,0.0002272406,0.001332445,0.000004021722,0.000001774676,0.000009292362,0.0001076608,0.00001101359,0.0001441898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005826171,"threshold_uncertainty_score":0.01158452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794897027802666,"score_gpt":0.2981608682350211,"score_spread":0.2702118979569944,"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."}}