{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009032781,0.0005111514,0.0003269064,0.00037315,0.0001845247,0.0004756366,0.0005920649,0.0006955227,0.0003415047],"category_scores_gemma":[0.003750189,0.0003537054,0.0003244554,0.0003288052,0.0002747194,0.0004516493,0.0003146068,0.0005325122,0.0001606297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587557,"about_ca_system_score_gemma":0.0006973825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457787,"about_ca_topic_score_gemma":0.002506774,"domain_scores_codex":[0.9998019,0.0000711064,0.00001239579,0.00002700735,0.00007377406,0.00001380717],"domain_scores_gemma":[0.9992787,0.0004248279,0.000116469,0.00006405344,0.00009588472,0.00001997757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002359292,0.00008752254,0.004509937,0.0002237854,0.00008491288,0.0003504683,0.0002025031,0.8121926,0.1007205,0.003560512,0.0004988021,0.07733256],"study_design_scores_gemma":[0.000009749278,0.00007562528,0.0008896015,0.00001273846,0.00002196049,0.0001430063,0.00000592051,0.9798071,0.01760928,0.0006996113,0.0007125583,0.00001268963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1023552,0.000493213,0.8957937,0.0001137843,0.00003663003,0.00005118833,0.00003884933,0.0005536946,0.0005636471],"genre_scores_gemma":[0.7368983,0.0006916984,0.2607878,0.00004044397,0.00003086096,0.0001049545,0.00008996038,0.0001557911,0.001200123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003457787,"threshold_uncertainty_score":0.006875336,"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."}}