{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002537231,0.0001533444,0.0003061273,0.0001221041,0.00008240079,0.00002991013,0.0001424066,0.00002160352,0.00006656133],"category_scores_gemma":[0.00008303278,0.0001092725,0.00009977406,0.0002467483,0.0001112157,0.0002284716,0.00001629179,0.000337363,0.000003183416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008645181,"about_ca_system_score_gemma":0.00009009299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006977998,"about_ca_topic_score_gemma":0.000002874022,"domain_scores_codex":[0.9987537,0.00002098703,0.0004523646,0.0001966181,0.0003162556,0.0002600896],"domain_scores_gemma":[0.9988388,0.00006392951,0.0002676068,0.0003169322,0.0003677111,0.0001450334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003065157,0.0002231942,0.1927329,0.00001219897,0.000001942894,0.0002225334,0.00009128877,0.00001267941,0.02778112,0.0001451856,0.001748579,0.7767219],"study_design_scores_gemma":[0.003745028,0.0009634363,0.8606055,0.0007834958,0.0001245587,0.003136571,0.0003277694,0.008545495,0.01206762,0.004931231,0.1044436,0.0003256394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6650305,0.04561004,0.2429466,0.03666465,0.0001413424,0.001248976,0.00001161987,0.0003004116,0.008045873],"genre_scores_gemma":[0.8218895,0.0003368439,0.1766074,0.0007980614,0.0001537866,0.00000390176,0.000001296663,0.00001565131,0.0001936742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7763962,"threshold_uncertainty_score":0.4456005,"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."}}