{"id":"W1607405199","doi":"10.1002/jmri.21995","title":"Susceptibility weighted imaging with multiple echoes","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"Centre National de la Recherche Scientifique","keywords":"Physics; Echo (communications protocol); Filter (signal processing); Phase (matter); Signal-to-noise ratio (imaging); Nuclear magnetic resonance; Visibility; Spin echo; Equidistant; Computation; Computer science; Magnetic resonance imaging; Optics; Mathematics; Computer vision; Algorithm; Radiology; Medicine; Geometry","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":[0.0005693359,0.0006413718,0.0004241097,0.0005734316,0.00009458655,0.0003447528,0.0003234886,0.0004762189,0.001545674],"category_scores_gemma":[0.001965833,0.0002256028,0.0003756953,0.0004310865,0.0002970321,0.0007857378,0.0004576705,0.0004847234,0.0006027188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187171,"about_ca_system_score_gemma":0.0002607758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002267734,"about_ca_topic_score_gemma":0.0004904381,"domain_scores_codex":[0.9998373,0.00003774618,0.00001570389,0.00004390023,0.00005113857,0.00001415071],"domain_scores_gemma":[0.9995522,0.0001847735,0.00006358625,0.00008071154,0.00008941462,0.00002933425],"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":[0.0004159322,0.0001499032,0.005286165,0.0008735445,0.0001594105,0.00144575,0.00009056374,0.006487665,0.7092964,0.001787551,0.001209517,0.2727976],"study_design_scores_gemma":[0.0004487704,0.003935185,0.06111231,0.0005213295,0.0006927121,0.04139806,0.0001469608,0.1099019,0.7136704,0.01843841,0.04953001,0.0002040216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2951904,0.00651986,0.6909301,0.0006588252,0.0001879253,0.0002253027,0.0002526355,0.001405168,0.004629863],"genre_scores_gemma":[0.4775754,0.004950929,0.5122234,0.0004574488,0.0002722075,0.0002468935,0.0004712894,0.000259035,0.003543519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001545674,"threshold_uncertainty_score":0.005170763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008029692838562308,"score_gpt":0.2823472949140741,"score_spread":0.2743176020755118,"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."}}