{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008011479,0.000415582,0.0006461309,0.0006925386,0.0004232541,0.0002728715,0.003016785,0.0001587887,0.0000293134],"category_scores_gemma":[0.001970096,0.0003288011,0.0002694179,0.001743995,0.0003641027,0.0001302007,0.002707078,0.00231824,0.0000203334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007844558,"about_ca_system_score_gemma":0.0005369465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001590508,"about_ca_topic_score_gemma":0.00003503145,"domain_scores_codex":[0.9884122,0.005721464,0.0005370378,0.00163263,0.002823043,0.0008736317],"domain_scores_gemma":[0.9966084,0.0004043693,0.00009138718,0.002064816,0.0002899337,0.0005410758],"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":[0.0004415527,0.0015262,0.002209444,0.0001891129,0.000008433008,0.0002298905,0.001515035,0.02564986,0.9678885,0.0001832906,0.00003587866,0.0001227944],"study_design_scores_gemma":[0.0009669526,0.001302965,0.02998349,0.00009391797,0.00001846549,0.000003268787,0.0003429131,0.07457037,0.8914286,0.0008962741,0.00001974248,0.0003729719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921293,0.00001199276,0.00008582946,0.001193685,0.00008483484,0.006012332,0.0003651398,0.00007537222,0.0000414709],"genre_scores_gemma":[0.998684,0.00001326177,0.00002259664,0.0001781996,0.000158964,0.0007839245,0.00001853717,0.00009644788,0.00004401593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07645983,"threshold_uncertainty_score":0.9999834,"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."}}