{"id":"W2014180211","doi":"10.1118/1.3611700","title":"SU‐E‐I‐126: Feasibility of Myelin Water Fraction Quantification Using Multi‐ Component Gradient Echo Sampling of Spin Echoes","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Dephasing; Spin echo; SIGNAL (programming language); Physics; Sampling (signal processing); Nuclear magnetic resonance; Signal-to-noise ratio (imaging); Magnetic resonance imaging; Computer science; Optics; Medicine; Detector","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":[0.001158511,0.0003240853,0.0002948933,0.0002868831,0.0001188642,0.0005190085,0.000518772,0.0005934352,0.0007167096],"category_scores_gemma":[0.002612726,0.0001791468,0.0001774043,0.00025785,0.0002905852,0.0004692965,0.0002265259,0.0002996355,0.0002759142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002953981,"about_ca_system_score_gemma":0.0004120651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594224,"about_ca_topic_score_gemma":0.001380723,"domain_scores_codex":[0.99968,0.00009593439,0.00001516385,0.00005802811,0.0001292889,0.00002161568],"domain_scores_gemma":[0.9993375,0.0003002151,0.00008513876,0.00007731203,0.0001531254,0.00004665944],"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":[0.00260191,0.0002380988,0.007677638,0.0004118985,0.00006572028,0.0003142335,0.0001066699,0.04276052,0.8372551,0.001245688,0.00098119,0.1063413],"study_design_scores_gemma":[0.00008090121,0.001481464,0.007149456,0.00003002325,0.00005330468,0.0006523733,0.00003055803,0.4980351,0.4895638,0.0004442075,0.002414851,0.00006398751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7710651,0.001328032,0.2236577,0.0002131323,0.00006987275,0.00008501887,0.0002999328,0.001322621,0.001958728],"genre_scores_gemma":[0.9003022,0.0002121251,0.09805492,0.00003069115,0.000008909386,0.00003490399,0.0003542645,0.00007489548,0.0009270288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001594224,"threshold_uncertainty_score":0.006126821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2349507841285436,"score_gpt":0.4173276340149744,"score_spread":0.1823768498864308,"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."}}