{"id":"W2123601236","doi":"10.1002/mrm.10492","title":"Robust myelin water quantification: Averaging vs. spatial filtering","year":2003,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voxel; Myelin; White matter; Fraction (chemistry); Spatial filter; Nuclear magnetic resonance; Chemistry; Filter (signal processing); Physics; Chromatography; Computer science; Artificial intelligence; Magnetic resonance imaging; Optics; Biology; Central nervous system; Medicine","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":[0.002651801,0.001063915,0.0009911824,0.0009710232,0.000395706,0.000776616,0.0007536048,0.0009629568,0.0007730132],"category_scores_gemma":[0.009915294,0.0005262204,0.0007141178,0.0008520558,0.0006477346,0.001637904,0.001013816,0.0005820512,0.0003995752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333997,"about_ca_system_score_gemma":0.0005321347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032222,"about_ca_topic_score_gemma":0.001435517,"domain_scores_codex":[0.9987782,0.0002602762,0.00008545886,0.0004213101,0.0003510003,0.0001037194],"domain_scores_gemma":[0.9977838,0.001217632,0.0003510126,0.0003254358,0.0002751755,0.00004701456],"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":[0.001181626,0.0001038133,0.003072813,0.0005577879,0.0004429794,0.0001611562,0.0002549441,0.0182068,0.5533894,0.001420524,0.0007607431,0.4204474],"study_design_scores_gemma":[0.00009240767,0.001732009,0.03793791,0.00009172817,0.0008133749,0.002075437,0.0001435989,0.2378417,0.7058538,0.007479871,0.005705582,0.0002327165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1547368,0.002373629,0.8401135,0.0001300412,0.00006333162,0.00007264697,0.0001636466,0.001795718,0.0005506675],"genre_scores_gemma":[0.3698322,0.001360631,0.6266305,0.0001058022,0.00007573715,0.0001685042,0.0004705845,0.0007431647,0.0006127649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002651801,"threshold_uncertainty_score":0.0140242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218331502923562,"score_gpt":0.3005135948785529,"score_spread":0.2583302798493173,"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."}}