{"id":"W4416830976","doi":"10.1101/2025.11.27.25339923","title":"Connecting proteomics and genomics to identify causal biomarkers specific for aortic valve stenosis","year":2025,"lang":"","type":"preprint","venue":"medRxiv","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Mendelian randomization; Biobank; Genome-wide association study; Disease; Aortic valve; Proteomics; Proportional hazards model; Genetic association; Aortic valve stenosis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003083557,0.0006647339,0.000544177,0.001432781,0.0002360379,0.001156988,0.0004345323,0.0005436844,0.002024057],"category_scores_gemma":[0.004253129,0.0003000674,0.0009359046,0.00142689,0.000514067,0.0006465211,0.0009467261,0.0006866591,0.0002906653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447235,"about_ca_system_score_gemma":0.0005860404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699382,"about_ca_topic_score_gemma":0.00145195,"domain_scores_codex":[0.9987801,0.0006530093,0.00005824176,0.0003107212,0.0001092045,0.00008874932],"domain_scores_gemma":[0.9965581,0.001989404,0.0008714867,0.0002576713,0.0001861183,0.0001371205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000838787,0.000167289,0.9181082,0.0004242836,0.001924905,0.0003598201,0.0002043465,0.00522647,0.03299659,0.001627354,0.0009004529,0.03722148],"study_design_scores_gemma":[0.0001001654,0.0005405712,0.9373685,0.0001300481,0.0009552835,0.0008281177,0.0003360503,0.0355515,0.008446374,0.0126162,0.003072136,0.00005511844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577415,0.005585915,0.03157691,0.001935852,0.0000787474,0.00003818172,0.001855872,0.0001674054,0.001019596],"genre_scores_gemma":[0.9853424,0.001090986,0.01234587,0.0003776615,0.00006293837,0.00002346935,0.0004358244,0.0000201317,0.0003006542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003083557,"threshold_uncertainty_score":0.01630759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347504937335216,"score_gpt":0.3649029489276182,"score_spread":0.3301524551940966,"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."}}