{"id":"W3090275975","doi":"10.1002/mrm.28543","title":"Myelin water imaging depends on white matter fiber orientation in the human brain","year":2020,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Canadian Institutes of Health Research; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Multiple Sclerosis Society","keywords":"White matter; Myelin; Voxel; Nuclear magnetic resonance; Orientation (vector space); Fiber tract; Chemistry; Magnetic resonance imaging; Biology; Physics; Neuroscience; Medicine; Mathematics; Central nervous system; Radiology; Geometry","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":[0.0004436845,0.0002786721,0.0001295751,0.0004891432,0.0001002222,0.000311649,0.00009713365,0.0002098197,0.0005580636],"category_scores_gemma":[0.002217011,0.0001225577,0.00007758004,0.000314987,0.0003530808,0.0005381271,0.0001659845,0.0001311736,0.0001791113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157345,"about_ca_system_score_gemma":0.0001703766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127924,"about_ca_topic_score_gemma":0.001874955,"domain_scores_codex":[0.9998956,0.00002460045,0.000007440785,0.00003242834,0.00003020789,0.000009803494],"domain_scores_gemma":[0.9994386,0.0002043117,0.000221133,0.00003258296,0.00007786106,0.00002540726],"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":[0.001320951,0.00005369485,0.1415972,0.0003867457,0.0001938512,0.0003609903,0.0004417023,0.001666862,0.7380221,0.0004594291,0.0002850876,0.1152114],"study_design_scores_gemma":[0.00002056432,0.0005312253,0.7540661,0.00006313798,0.0002192594,0.0024222,0.0002704299,0.007098506,0.2321175,0.001635829,0.001517407,0.00003781938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846618,0.002240667,0.01227601,0.00004058213,0.00001017015,0.00001334344,0.00009301523,0.00004704684,0.0006174246],"genre_scores_gemma":[0.9953381,0.0007854039,0.003509592,0.00001615136,0.00000972554,0.000005388885,0.00007708992,0.00002431024,0.0002342282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127924,"threshold_uncertainty_score":0.002543569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368478821322771,"score_gpt":0.3485788716238089,"score_spread":0.3048940834105812,"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."}}