{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747262,0.0001628827,0.0003853889,0.0001647161,0.00004994543,0.00001315867,0.0002702568,0.0001686537,0.0001245614],"category_scores_gemma":[0.00005651184,0.0001259838,0.0002679097,0.0004917143,0.0001617872,0.000005334283,0.0002724602,0.00009622164,0.000008448543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001684018,"about_ca_system_score_gemma":0.00002531997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000214151,"about_ca_topic_score_gemma":0.0003074059,"domain_scores_codex":[0.9985811,0.0002426747,0.0003029464,0.0004663231,0.0001190345,0.0002879186],"domain_scores_gemma":[0.9991544,0.0000223122,0.0001080826,0.0005977846,0.00007325337,0.00004409147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003850966,0.00007020892,0.5658737,0.00001054683,0.0003104896,2.525443e-9,0.00004721287,0.00001415962,0.433456,0.00006152946,0.000005244681,0.000146979],"study_design_scores_gemma":[0.0008114913,0.0002453208,0.9939138,0.00001471519,0.0001427716,2.329985e-8,0.00007082115,0.0003230532,0.003856948,0.00002123318,0.000451924,0.0001479118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989227,0.000281271,0.00007624509,0.00008297643,0.00007257953,0.0004894138,0.00002644199,0.000003685625,0.00004466853],"genre_scores_gemma":[0.9991536,0.0005942353,0.0000537618,0.00003815621,0.00001020608,0.00003421967,0.00007488258,0.00001590755,0.0000250862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295991,"threshold_uncertainty_score":0.5137471,"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."}}