{"id":"W2897827950","doi":"10.1101/444349","title":"High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Heart Institute; Montreal Neurological Institute and Hospital; Concordia University","funders":"Max-Planck-Gesellschaft; Réseau en Bio-Imagerie du Quebec; Heart and Stroke Foundation of Canada","keywords":"Neuroimaging; Human brain; Neuroanatomy; Medicine; Cerebral veins; Magnetic resonance imaging; Atlas (anatomy); Brain atlas; Anatomy; Neuroscience; Radiology; Psychology","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":[0.0007023889,0.000318278,0.0002334237,0.001802322,0.0002115327,0.001053252,0.0003583381,0.000481236,0.002671567],"category_scores_gemma":[0.002008166,0.0002947631,0.0002976425,0.0009965294,0.0003319818,0.0003448506,0.0004154096,0.0003874069,0.0006105417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905498,"about_ca_system_score_gemma":0.0007942829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372744,"about_ca_topic_score_gemma":0.002018348,"domain_scores_codex":[0.999801,0.00005720953,0.00001423865,0.00004217401,0.00006764739,0.00001772211],"domain_scores_gemma":[0.9995209,0.0001983875,0.00006636625,0.0000782763,0.000114114,0.00002188289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006377182,0.0001784624,0.01055362,0.0008643902,0.0002073278,0.001521652,0.001087554,0.1303681,0.5422002,0.02140785,0.01153244,0.2794407],"study_design_scores_gemma":[0.0001484834,0.0007064769,0.07978644,0.0001744484,0.0002227151,0.008598586,0.0004504417,0.5652757,0.2658466,0.03220621,0.04635321,0.0002307707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2451572,0.0004302487,0.7441407,0.0002112962,0.00005004607,0.0002405749,0.003276691,0.002488221,0.004005014],"genre_scores_gemma":[0.6149045,0.0004727237,0.3780655,0.00006872569,0.00004842082,0.0003500926,0.0028935,0.0006680599,0.002528437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002671567,"threshold_uncertainty_score":0.008937299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818817663160284,"score_gpt":0.2673840105372673,"score_spread":0.2491958339056645,"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."}}