{"id":"W4412569023","doi":"10.1038/s41598-025-09665-w","title":"Exploring thoracic aorta ECM alterations in Marfan syndrome: insights into aorta wall structure","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Medical Research Council; Universität zu Köln; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft","keywords":"Fibrillin; Elastin; Elastic fiber; Fibronectin; Extracellular matrix; Aorta; Thoracic aorta; Pathology; Internal elastic lamina; Chemistry; Marfan syndrome; Tunica media; Connective tissue; Anatomy; Medicine; Cell biology; Internal medicine; Biology; Artery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004379205,0.0001663345,0.0001719644,0.000397892,0.0002932699,0.0002055443,0.0002429853,0.0001016938,0.00007571381],"category_scores_gemma":[0.0003623107,0.0001640448,0.00007030318,0.0008569813,0.0001704586,0.00002763833,0.0002627424,0.0001740591,0.000007385419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005759365,"about_ca_system_score_gemma":0.0003217359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002293859,"about_ca_topic_score_gemma":0.004092342,"domain_scores_codex":[0.9978971,0.00009278589,0.0003991778,0.0009773097,0.0003043353,0.000329249],"domain_scores_gemma":[0.9985428,0.00001485872,0.00008837933,0.001070871,0.0001992576,0.0000838624],"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":[0.00003756435,0.0001401639,0.0442549,0.0001159178,0.00007511037,0.0006393831,0.00108688,0.0003275159,0.937966,0.0002516609,0.003238648,0.01186629],"study_design_scores_gemma":[0.0004429362,0.0001478974,0.07637421,0.0002319133,0.00003291927,0.0002185837,0.0009974514,0.000526874,0.7327573,0.02464893,0.1628565,0.0007643878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950117,0.001058592,0.0002030952,0.0002448449,0.001729033,0.0004061998,0.000001988014,0.00001742488,0.001327119],"genre_scores_gemma":[0.9940426,0.00003752719,0.000175309,0.00003304466,0.00002317294,0.00009002069,0.0002771852,0.00001557673,0.00530556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052086,"threshold_uncertainty_score":0.6689554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201190722176651,"score_gpt":0.3267211120754027,"score_spread":0.2947092048536362,"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."}}