{"id":"W2944721047","doi":"10.1101/627653","title":"Targetable cellular signaling events drive arterial rupture in knock-in mouse models of vascular Ehlers-Danlos Syndrome","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Marfan Foundation; Johns Hopkins University; Howard Hughes Medical Institute","keywords":"Ehlers–Danlos syndrome; Gene knockin; Biology; Cell biology; Anatomy; Medicine; Gene; Pathology; 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":[0.0003673289,0.0007889543,0.0003663347,0.0008216348,0.0003101181,0.0006297628,0.000391716,0.0009889991,0.004526343],"category_scores_gemma":[0.0003035288,0.0004614719,0.0004996946,0.0003702113,0.0008311516,0.0003590192,0.0004790287,0.001563886,0.001394155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529093,"about_ca_system_score_gemma":0.0001666981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003591815,"about_ca_topic_score_gemma":0.0006850793,"domain_scores_codex":[0.9996132,0.00007915498,0.00006093647,0.0001134637,0.00007612912,0.00005709121],"domain_scores_gemma":[0.9994726,0.0001286636,0.0002348105,0.00005202729,0.00001864366,0.00009334338],"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":[0.0002611869,0.00007121743,0.0002343268,0.00006453224,0.00002165632,0.0005207515,0.00004992175,0.0002756745,0.9960523,0.001049088,0.0002567043,0.001142576],"study_design_scores_gemma":[0.000158789,0.0002645909,0.004317037,0.0000429856,0.00009526227,0.001669466,0.0001104345,0.002528754,0.9842789,0.0006161318,0.005899488,0.00001831219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775799,0.001409891,0.0135209,0.00076284,0.0002421629,0.00006680108,0.00294901,0.0005994018,0.002869092],"genre_scores_gemma":[0.9820616,0.001332326,0.007445048,0.000240635,0.00007172304,0.0001578803,0.001032516,0.0003256993,0.007332447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004526343,"threshold_uncertainty_score":0.01514214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323563444080125,"score_gpt":0.2280848712966007,"score_spread":0.2148492368557995,"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."}}