{"id":"W3175695364","doi":"10.3389/fnins.2021.646034","title":"Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"EPSRC Centre for Doctoral Training in Medical Imaging; Centre d'Imagerie BioMédicale; Université de Lausanne; Université de Genève; Hôpitaux Universitaires de Genève; Ministero dell’Istruzione, dell’Università e della Ricerca; Engineering and Physical Sciences Research Council; École Polytechnique Fédérale de Lausanne; Centre Hospitalier Universitaire Vaudois; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Wolfson Foundation; Wellcome Trust; National Science Foundation","keywords":"White matter; Voxel; Axon; Diffusion MRI; Corpus callosum; Internal capsule; Tractography; Bundle; Spherical mean; Neuroscience; Magnetic resonance imaging; Anatomy; Computer science; Artificial intelligence; Biology; Mathematics; Materials science; Mathematical analysis; 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":[0.0005163719,0.0004989673,0.0003454792,0.001495115,0.0002128672,0.0008415422,0.0003579572,0.0005200531,0.001091355],"category_scores_gemma":[0.002246552,0.0001842921,0.0002267543,0.0008119963,0.0004861189,0.00122583,0.0008042441,0.0005403991,0.0002666596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394783,"about_ca_system_score_gemma":0.000335151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127865,"about_ca_topic_score_gemma":0.001226112,"domain_scores_codex":[0.9998189,0.00004235623,0.00001640552,0.00005442134,0.00005571148,0.00001228201],"domain_scores_gemma":[0.9992353,0.0002874836,0.0002030088,0.00007864732,0.0001384068,0.00005723739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000582853,0.00009305884,0.02306575,0.0006541001,0.0002162508,0.0005394649,0.0007270191,0.0571139,0.5650391,0.05740731,0.003326492,0.2912348],"study_design_scores_gemma":[0.0000488628,0.0005354686,0.06945337,0.0001403245,0.00022103,0.00298087,0.0002224337,0.7122079,0.1430446,0.04902945,0.02193938,0.0001763846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109321,0.001035552,0.8843241,0.0001276349,0.00006052811,0.00004253266,0.0003898216,0.0005967926,0.002490945],"genre_scores_gemma":[0.4822061,0.001088559,0.5127169,0.00008906279,0.000192401,0.00008707378,0.000634471,0.0003830673,0.002602259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001495115,"threshold_uncertainty_score":0.003650963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516596557874247,"score_gpt":0.3122785943264132,"score_spread":0.2671126287476707,"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."}}