{"id":"W4288428471","doi":"10.1101/2022.07.27.22276826","title":"Aptamer Proteomics for Biomarker Discovery in Heart Failure with Reduced Ejection Fraction","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Relypsa; Novo Nordisk; University of Glasgow; Boston Scientific Corporation; Alnylam Pharmaceuticals; MyoKardia; Gilead Sciences; Cytokinetics; Daiichi Sankyo Europe; Sanofi; Bristol-Myers Squibb; AstraZeneca; Amgen; Pfizer; Ironwood Pharmaceuticals, Incorporated; GlaxoSmithKline","keywords":"Mendelian randomization; Biomarker; Clinical endpoint; Biomarker discovery; Heart failure; Internal medicine; Natriuretic peptide; Proteomics; Proportional hazards model; Medicine; Ejection fraction; Clinical trial; Oncology; Bioinformatics; Cardiology; Biology; Genetics; Genotype; Genetic variants","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":[0.003300703,0.0005275388,0.0008072362,0.000944723,0.0001687314,0.000682221,0.000433868,0.0005466231,0.001054968],"category_scores_gemma":[0.003992536,0.0002190956,0.0005219984,0.0006107567,0.0004010872,0.0003154149,0.0006921904,0.0004766186,0.0001805046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246487,"about_ca_system_score_gemma":0.0004353792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003605318,"about_ca_topic_score_gemma":0.000424753,"domain_scores_codex":[0.9987822,0.0005639111,0.00006672022,0.0003123306,0.0001998916,0.00007492226],"domain_scores_gemma":[0.9976979,0.001080015,0.0007273612,0.0001978269,0.0001680789,0.0001288219],"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":[0.0122278,0.0007190087,0.2791376,0.001330921,0.002389646,0.0008983256,0.0002577116,0.01820683,0.4625938,0.003584476,0.004756812,0.2138971],"study_design_scores_gemma":[0.001900651,0.009480559,0.4239525,0.0002587471,0.002763822,0.005388426,0.0002627705,0.2088588,0.3049925,0.02377857,0.01815551,0.0002072121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191281,0.01048539,0.06536261,0.001099044,0.0002225912,0.0002066197,0.001613784,0.0004666846,0.001415028],"genre_scores_gemma":[0.966072,0.001073423,0.03107046,0.0004769926,0.0001327851,0.0001371301,0.0005065002,0.00002008131,0.0005106048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003300703,"threshold_uncertainty_score":0.01745594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191585640723548,"score_gpt":0.2793461564436199,"score_spread":0.2601875923712652,"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."}}