{"id":"W4220935839","doi":"10.1101/2022.03.27.485933","title":"Quantifying cerebral blood arrival times using hypoxia-mediated arterial BOLD contrast","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto General Hospital; University of Toronto","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Cerebral blood flow; Cardiology; Medicine; Blood flow; Hemodynamics; Blood volume; Perfusion; Hypoxia (environmental); Arterial blood; White matter; Perfusion scanning; Anesthesia; Internal medicine; Radiology; Chemistry; Oxygen; Magnetic resonance imaging","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":[0.0002097373,0.0002855631,0.0001518626,0.0003572336,0.0001071151,0.0003079787,0.0001494298,0.0002556554,0.001129364],"category_scores_gemma":[0.0005802109,0.0001223708,0.00008278938,0.0002018854,0.0001732928,0.0002297782,0.0001841953,0.0002802307,0.0002908144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384661,"about_ca_system_score_gemma":0.0001801946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006532369,"about_ca_topic_score_gemma":0.001274481,"domain_scores_codex":[0.9999423,0.00001476916,0.000002274008,0.00001946544,0.00001235055,0.00000877126],"domain_scores_gemma":[0.9998459,0.0000585694,0.00004256835,0.0000123466,0.00002293405,0.00001773745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000324858,0.00002458481,0.00322155,0.00005739101,0.0000165273,0.0001027584,0.00004807685,0.0008696754,0.9840491,0.0002427336,0.0001388669,0.01090396],"study_design_scores_gemma":[0.0000327514,0.000860696,0.08936384,0.00001342098,0.00008078204,0.0009992585,0.00007484567,0.03773017,0.8681092,0.001064285,0.001634145,0.00003657523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096826,0.0005124648,0.08789188,0.00008033097,0.00002870573,0.00004086686,0.0003382726,0.0002980067,0.001126794],"genre_scores_gemma":[0.9567809,0.0004439146,0.04099637,0.00004679531,0.00002803706,0.00006511748,0.0002476801,0.00006712048,0.001323955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129364,"threshold_uncertainty_score":0.0037781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316825066994091,"score_gpt":0.2816111703229252,"score_spread":0.2484429196529842,"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."}}