{"id":"W4206933488","doi":"10.1101/2022.01.20.477166","title":"Development and characterization of a human model of arteriovenous malformation (AVM)-on-a-chip","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Adherens junction; KRAS; Arteriovenous malformation; Pathogenesis; Cancer research; Vascular permeability; Pathology; Phenotype; Human brain; Microvessel; Stroke (engine); Angiogenesis; Mutant; Biology; Medicine; Mutation; Cell; Neuroscience; Gene; Radiology; 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":[0.0004366027,0.0003214142,0.0002938243,0.0001720348,0.0001550549,0.0003244176,0.0006247875,0.0005763444,0.001009676],"category_scores_gemma":[0.0002890649,0.0002427716,0.000299239,0.0001103581,0.0001907146,0.0001522168,0.0002406883,0.0004592884,0.0004808412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002504603,"about_ca_system_score_gemma":0.000241081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008044404,"about_ca_topic_score_gemma":0.001102778,"domain_scores_codex":[0.9997239,0.00003475806,0.00001661785,0.0000929899,0.00008723537,0.00004458033],"domain_scores_gemma":[0.9998318,0.00003851314,0.00002883279,0.00004726118,0.00002764355,0.00002588946],"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":[0.0000361401,0.00005019418,0.000256566,0.00005507056,0.00001283317,0.00009811389,0.00002335956,0.001022831,0.9939445,0.0004330255,0.0004848174,0.00358269],"study_design_scores_gemma":[0.00002464376,0.0003344899,0.002403062,0.000009665301,0.00003152365,0.0003011976,0.00002413201,0.02409644,0.9605084,0.0001661722,0.01208198,0.00001829021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5973722,0.00141353,0.3892683,0.0005249478,0.0003548844,0.0006200185,0.00326995,0.001967343,0.005208862],"genre_scores_gemma":[0.8253804,0.0007132047,0.1656253,0.0001846506,0.00002705351,0.001267169,0.001821272,0.0001709385,0.004810032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001009676,"threshold_uncertainty_score":0.003377676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326576815788747,"score_gpt":0.2308414197074654,"score_spread":0.2075756515495779,"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."}}