{"id":"W1760807988","doi":"10.1002/mrm.25077","title":"Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI","year":2014,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Health and Medical Research Council; Engineering and Physical Sciences Research Council; Medical Research Council; Felix Scholarship; University of Oxford; Royal Commission for the Exhibition of 1851; Australian Research Council; Wellcome Trust","keywords":"Dispersion (optics); Cerebral blood flow; Bolus (digestion); Medicine; Nuclear medicine; Mathematics; Nuclear magnetic resonance; Cardiology; Internal medicine; Physics; Optics","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":[0.0004868829,0.0001079003,0.0003549048,0.0001203607,0.00002017267,0.000001405478,0.00004893098,0.0000638893,0.00001654874],"category_scores_gemma":[0.0003131005,0.00008825932,0.00001856215,0.0002386951,0.0001603216,0.00002861836,0.00002377239,0.000198178,7.74285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006737089,"about_ca_system_score_gemma":0.0000113486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003941845,"about_ca_topic_score_gemma":0.0003867212,"domain_scores_codex":[0.9990167,0.00005744966,0.0003460337,0.0002678434,0.0001496239,0.0001623574],"domain_scores_gemma":[0.9994544,0.0001499162,0.00004671199,0.0002491887,0.00004152285,0.00005825458],"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":[0.0002612944,0.0001837916,0.05491953,0.0002702978,8.262714e-7,0.000009879071,0.0004588723,0.002265628,0.02741018,0.0002868686,0.0001103427,0.9138225],"study_design_scores_gemma":[0.002070128,0.0006960301,0.2380506,0.001125044,0.00001465216,0.00001162111,0.0001365867,0.7559128,0.000234615,0.001071331,0.0006056898,0.00007094014],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909584,0.004880696,0.1010783,0.001100113,0.00008012255,0.0007363451,8.597932e-7,0.00003467403,0.001130541],"genre_scores_gemma":[0.993311,0.001288289,0.005054882,0.0001353447,0.00003573722,0.00004408075,0.000007610502,0.00001162131,0.0001113645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9137515,"threshold_uncertainty_score":0.3599111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006760287062329388,"score_gpt":0.2860536707990795,"score_spread":0.2792933837367501,"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."}}