{"id":"W4225286494","doi":"10.1101/2022.04.27.489686","title":"Perfusion Quantification in the Human Brain Using DSC MRI – Simulations and Validations at 3T","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Institute for Basic Science","keywords":"Perfusion; Gadolinium; Voxel; Nuclear magnetic resonance; Cerebral blood flow; Perfusion scanning; Magnetic resonance imaging; Chemistry; Nuclear medicine; Biomedical engineering; Medicine; Physics; Radiology; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004049815,0.0004393462,0.0004849702,0.0002768761,0.0001904309,0.0004010667,0.000499154,0.0008833063,0.0006742339],"category_scores_gemma":[0.001443946,0.0002118623,0.0005123201,0.0002734927,0.0005254193,0.0002580121,0.0002740191,0.0003674399,0.0001486634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105772,"about_ca_system_score_gemma":0.0004653789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007311491,"about_ca_topic_score_gemma":0.002698162,"domain_scores_codex":[0.9999247,0.00002750891,0.000004733236,0.0000138247,0.0000206841,0.000008470889],"domain_scores_gemma":[0.9995522,0.0002688269,0.00003890691,0.00003769283,0.00008680118,0.0000156095],"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":[0.0003506663,0.0001217723,0.002423568,0.0001239932,0.00004854023,0.0003583783,0.000213363,0.9575023,0.03007496,0.0007884942,0.0002985765,0.007695268],"study_design_scores_gemma":[0.0000299946,0.0001424494,0.001035757,0.000010823,0.00001718765,0.00008721733,0.00003216794,0.9845955,0.01330182,0.000449718,0.0002824702,0.00001483472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956862,0.0003042496,0.04010597,0.0002187417,0.00002521042,0.00007318854,0.0003914612,0.0003388606,0.001680489],"genre_scores_gemma":[0.9841102,0.0002011262,0.01475753,0.00004796242,0.000008149744,0.00007106209,0.0001750854,0.00003737605,0.0005915547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007311491,"threshold_uncertainty_score":0.01453787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681083762236379,"score_gpt":0.3277767618024606,"score_spread":0.2809659241800968,"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."}}