{"id":"W1997727828","doi":"10.1002/jmri.21673","title":"ToF‐SWI: Simultaneous time of flight and fully flow compensated susceptibility weighted imaging","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Michael Smith Health Research BC","keywords":"Susceptibility weighted imaging; Flip angle; Echo (communications protocol); Imaging phantom; SIGNAL (programming language); Fast spin echo; Nuclear medicine; Magnetic resonance imaging; Medicine; Nuclear magnetic resonance; Radiology; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145593,0.0001780342,0.0004913342,0.0001423588,0.00007012382,0.00002259664,0.0001417229,0.00003597245,0.0001310753],"category_scores_gemma":[0.000159592,0.0001477188,0.0001099543,0.00024555,0.0001696294,0.0001493011,0.0000321111,0.0003049626,0.000003642694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006503292,"about_ca_system_score_gemma":0.00007709174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005826402,"about_ca_topic_score_gemma":6.872552e-7,"domain_scores_codex":[0.9984513,0.0000377297,0.000720723,0.0002192922,0.0003165241,0.0002544535],"domain_scores_gemma":[0.9984871,0.0001594307,0.00038421,0.0003013546,0.00051204,0.0001558384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003490298,0.0002576151,0.007268602,0.00003468937,0.000004475753,0.0003326664,0.0001953784,0.00007228785,0.1921721,0.00007283073,0.001341945,0.7978984],"study_design_scores_gemma":[0.009496434,0.003060717,0.2395515,0.002735333,0.0005876477,0.009812822,0.0004834988,0.5531964,0.06510523,0.01202501,0.1028806,0.001064725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861731,0.04722653,0.04380396,0.01798126,0.0001046979,0.001036625,0.00002909163,0.0001585135,0.003486206],"genre_scores_gemma":[0.8749244,0.0005667137,0.1236003,0.0004888651,0.0001073789,0.00000163047,0.000003431791,0.00001761254,0.0002896441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7968336,"threshold_uncertainty_score":0.6023797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005628456012910301,"score_gpt":0.2662254607221199,"score_spread":0.2605970047092096,"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."}}