{"id":"W2071944063","doi":"10.2463/mrms.4.27","title":"Effect of Regional Tracer Delay on CBF in Healthy Subjects Measured with Dynamic Susceptibility Contrast-Enhanced MRI: Comparison with 15O-PET","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medical Sciences","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Nuclear medicine; Cerebral blood flow; White matter; Deconvolution; Positron emission tomography; Magnetic resonance imaging; Perfusion scanning; Perfusion; Nuclear magnetic resonance; Radiology; Internal medicine; Physics; Algorithm; Mathematics","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":[0.001728209,0.0002061361,0.0005755674,0.0001386351,0.00007230601,0.000009158573,0.0002787087,0.00009829931,0.0001294193],"category_scores_gemma":[0.0002388018,0.0001242654,0.00003800205,0.0009851807,0.001510857,0.00007615978,0.0000204454,0.000475769,0.000003535138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668843,"about_ca_system_score_gemma":0.0003641525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001909744,"about_ca_topic_score_gemma":0.006518334,"domain_scores_codex":[0.9968759,0.0001777457,0.0005242817,0.0006014179,0.001351179,0.0004694354],"domain_scores_gemma":[0.9986972,0.000572937,0.0001461284,0.0002995066,0.00005820577,0.000226003],"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":[0.01138461,0.002331563,0.1690342,0.0002668131,0.00000509149,0.0001470476,0.0007913921,0.002512665,0.002931371,0.0009910567,0.0002607371,0.8093435],"study_design_scores_gemma":[0.02320259,0.08678137,0.7527107,0.005721578,0.00007004325,0.0003965543,0.0006547766,0.1046616,0.01587299,0.0006750568,0.008259755,0.0009929597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985751,0.001626073,0.002905708,0.007553531,0.00001525711,0.00120626,0.000003088067,0.00004422462,0.000894898],"genre_scores_gemma":[0.9878724,0.0003115737,0.0110442,0.0004612757,0.00002850765,0.0002258821,0.000004074904,0.00001073396,0.00004136214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8083505,"threshold_uncertainty_score":0.5566815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791677219161388,"score_gpt":0.3495742517008881,"score_spread":0.3316574795092742,"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."}}