{"id":"W7140486117","doi":"10.5281/zenodo.16032692","title":"Blood volume sensitive laminar fMRI with VASO in human hippocampus: Capabilities and biophysical challenges at clinical 7T scanners","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Mercator Research Center Ruhr","keywords":"Laminar flow; Cerebral blood volume; Hippocampus; SIGNAL (programming language); Magnetic resonance imaging; Functional magnetic resonance imaging; Blood oxygenation","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":[0.0006832305,0.0002397472,0.0002542744,0.0002214094,0.0001857934,0.000647729,0.0003635065,0.0004763453,0.001020349],"category_scores_gemma":[0.001467472,0.0002528459,0.0001389448,0.0001350279,0.0004540252,0.0004932642,0.000398847,0.0003719945,0.0001572982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149013,"about_ca_system_score_gemma":0.000301116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009335873,"about_ca_topic_score_gemma":0.002449452,"domain_scores_codex":[0.9998966,0.00004029473,0.000006165752,0.00002133565,0.00001905188,0.00001650289],"domain_scores_gemma":[0.9997136,0.0001282582,0.00004323246,0.00003665921,0.00004958171,0.00002859412],"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":[0.0009322392,0.00009479105,0.01098929,0.0005550309,0.000176733,0.0007946759,0.0003552989,0.006392706,0.9194531,0.001980477,0.001608903,0.05666688],"study_design_scores_gemma":[0.0003109314,0.003012205,0.1347542,0.0004310885,0.0008409378,0.01109645,0.001190016,0.1417578,0.6729888,0.01718937,0.01613769,0.0002904696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176306,0.00455721,0.0739213,0.0008999625,0.00006839982,0.00007403482,0.0002792346,0.0003425654,0.002226705],"genre_scores_gemma":[0.9639409,0.001297614,0.03356753,0.0003375475,0.00007528723,0.00005658107,0.0001714622,0.0000780725,0.000474993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020349,"threshold_uncertainty_score":0.003613353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193634707777831,"score_gpt":0.3095808162490301,"score_spread":0.2776444691712517,"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."}}