{"id":"W2962865476","doi":"10.1161/atvbaha.118.312175","title":"Glycoproteomic Analysis of the Aortic Extracellular Matrix in Marfan Patients","year":2019,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Bundesministerium für Verkehr, Innovation und Technologie; Koninklijke Nederlandse Akademie van Wetenschappen; Company of Biologists; Canadian Institutes of Health Research; National Institute for Health and Care Research; Stichting de Drie Lichten; British Heart Foundation; Heart and Stroke Foundation of Canada","keywords":"Thoracic aortic aneurysm; Marfan syndrome; ADAMTS; Extracellular matrix; Glycoprotein; Aortic aneurysm; Fibrillin; Versican; Ascending aorta; Elastin; Aorta; Thrombospondin; Matrix metalloproteinase; Medicine; Internal medicine; Pathology; Chemistry; Proteoglycan; Metalloproteinase; Biochemistry","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":[0.0001658273,0.0004400743,0.0002160034,0.001038094,0.000213646,0.0002676326,0.0001085486,0.0003248949,0.000819697],"category_scores_gemma":[0.0004046489,0.00009618218,0.0002463681,0.0003870573,0.0001148712,0.000149236,0.0002265583,0.0001885611,0.0001232382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285541,"about_ca_system_score_gemma":0.00005632847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004496173,"about_ca_topic_score_gemma":0.0003221068,"domain_scores_codex":[0.9998978,0.00001859292,0.0000135764,0.00002808922,0.00002301838,0.00001887655],"domain_scores_gemma":[0.9998877,0.00001413764,0.00004725085,0.000004773295,0.00001850327,0.00002765219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0023012,0.0001333795,0.6870428,0.0001503558,0.0002393201,0.004216255,0.000298549,0.0001836243,0.2842922,0.00008457316,0.0004024021,0.02065546],"study_design_scores_gemma":[0.00002786253,0.0005817158,0.9772825,0.00002115411,0.0001181827,0.007157387,0.0002067571,0.0007081355,0.01279737,0.00006908451,0.00101981,0.000009974146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991661,0.0003669364,0.0001148284,0.00002201856,0.000004879473,0.000005389332,0.000185612,0.000004982958,0.0001292681],"genre_scores_gemma":[0.9985849,0.0002512978,0.0004991053,0.00003223958,0.00001315752,0.000009248244,0.0004020152,0.000002300251,0.0002057227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001038094,"threshold_uncertainty_score":0.002742112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301729854529389,"score_gpt":0.2854312188414939,"score_spread":0.2724139202962,"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."}}