{"id":"W3121557208","doi":"10.1038/s41598-020-80585-7","title":"Comparison of multi echo T2 relaxation and steady state approaches for myelin imaging in the central nervous system","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Centre For Medical Engineering, King’s College London; Natural Sciences and Engineering Research Council of Canada; Vancouver Coastal Health Research Institute; Wellcome Trust; Multiple Sclerosis Society; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Michael Smith Health Research BC; Multiple Sclerosis Society of Canada","keywords":"Echo (communications protocol); T2 relaxation; Central nervous system; Myelin; Relaxation (psychology); Neuroscience; Nuclear magnetic resonance; Magnetic resonance imaging; Computer science; Medicine; Biology; Physics; Radiology","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":[0.004288839,0.0004901444,0.0003757254,0.001955747,0.0003331958,0.001199372,0.0006205912,0.0006140226,0.0007937068],"category_scores_gemma":[0.005400677,0.0003427758,0.0005530693,0.0007544391,0.0004088051,0.001277922,0.0008342714,0.0005507536,0.0002331856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005131463,"about_ca_system_score_gemma":0.0005116652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624624,"about_ca_topic_score_gemma":0.003674778,"domain_scores_codex":[0.9992278,0.0003311719,0.00004371217,0.0001384136,0.0002122654,0.00004670618],"domain_scores_gemma":[0.9980714,0.0009447976,0.0002186634,0.000215984,0.0004254084,0.000123842],"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":[0.006553875,0.0004220537,0.06294147,0.001460485,0.001961894,0.0003207994,0.0009527223,0.03232471,0.5204713,0.009035885,0.001503144,0.3620518],"study_design_scores_gemma":[0.0002886981,0.004973507,0.360673,0.0002108686,0.001112902,0.002725636,0.0006345476,0.4123326,0.1937352,0.01683442,0.00596443,0.0005141724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684636,0.003516985,0.3236483,0.0002888196,0.00009976209,0.0001670275,0.0005799484,0.001025042,0.002210369],"genre_scores_gemma":[0.800109,0.001145897,0.1968604,0.0001027441,0.00005341399,0.0001541183,0.0004741359,0.0003451422,0.0007551144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004288839,"threshold_uncertainty_score":0.02268183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07162320039680559,"score_gpt":0.3514830725271544,"score_spread":0.2798598721303489,"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."}}