{"id":"W4245764339","doi":"10.21203/rs.3.rs-33897/v1","title":"An in vitro bioengineered model of the human arterial neurovascular unit to study neurodegenerative diseases","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Leducq; Michael Smith Health Research BC; Weston Brain Institute; Consortium canadien en neurodégénérescence associée au vieillissement; Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Faculty of Medicine, University of British Columbia","keywords":"Neurovascular bundle; Neuroscience; In vitro; Medicine; Unit (ring theory); Biology; Pathology; Psychology; Genetics","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":[0.0004702319,0.000427552,0.0002917665,0.0004002528,0.0003050021,0.0006378541,0.0005646591,0.0008778162,0.002058338],"category_scores_gemma":[0.0002399917,0.0002387374,0.0004261906,0.0003894653,0.0003110734,0.0003817167,0.0003149051,0.001070386,0.0007460549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879688,"about_ca_system_score_gemma":0.0005096199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373062,"about_ca_topic_score_gemma":0.001384786,"domain_scores_codex":[0.9998155,0.00004483578,0.00001408253,0.00005147501,0.00004551743,0.00002858324],"domain_scores_gemma":[0.9997739,0.00007540285,0.00003106982,0.00006161248,0.00002550027,0.00003246474],"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":[0.0002520763,0.0002237305,0.0003614589,0.0001784608,0.00002401343,0.0006680156,0.0001122568,0.003262843,0.9845088,0.00281373,0.000496333,0.007098321],"study_design_scores_gemma":[0.00006451008,0.002126909,0.005408296,0.00008026297,0.0001803211,0.002510431,0.0001555233,0.02313016,0.9347609,0.001902125,0.02964989,0.00003064102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.687244,0.01078315,0.2785304,0.0006631115,0.001405752,0.0004130924,0.003007413,0.0008139323,0.01713913],"genre_scores_gemma":[0.8940262,0.004070912,0.08893552,0.0001989844,0.0001258403,0.0003347749,0.001765758,0.00007070292,0.01047122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002058338,"threshold_uncertainty_score":0.006885767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1843104771407056,"score_gpt":0.4143129908940425,"score_spread":0.2300025137533369,"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."}}