{"id":"W4293332018","doi":"10.1161/circulationaha.122.061481","title":"Aptamer Proteomics for Biomarker Discovery in Heart Failure With Reduced Ejection Fraction","year":2022,"lang":"en","type":"letter","venue":"Circulation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Ejection fraction; Aptamer; Biomarker; Heart failure; Biomarker discovery; Proteomics; Cardiology; Heart failure with preserved ejection fraction; Internal medicine; Computational biology; Molecular biology; Genetics; Gene; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001055826,0.0002603323,0.0002626035,0.0001684675,0.0001917603,0.00007698224,0.0001265531,0.0005518129,0.0001944428],"category_scores_gemma":[0.00002450213,0.0002801392,0.0001167473,0.0002493173,0.00003480564,0.0003358571,0.00003070063,0.001047531,0.00000368328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000722549,"about_ca_system_score_gemma":0.0000861679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005225196,"about_ca_topic_score_gemma":0.000008694226,"domain_scores_codex":[0.9985712,0.00002334422,0.0003310595,0.0005972511,0.0002236816,0.0002534227],"domain_scores_gemma":[0.9990301,0.00006588659,0.0003466391,0.0004688357,0.00006877316,0.00001973399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004322127,0.0001647313,0.008981921,0.001056353,0.0001176655,0.000009399584,0.00006375816,0.002389277,0.6571928,0.0003073756,0.3279568,0.001327738],"study_design_scores_gemma":[0.0008126127,0.00003059737,0.0006859135,0.0001604126,0.00007358634,0.00003137139,0.00006963743,0.002719137,0.03517476,0.004293905,0.955257,0.0006910603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1656388,0.00006880954,0.5908232,0.2337873,0.0002525208,0.006544251,0.00061911,0.0007486058,0.001517422],"genre_scores_gemma":[0.6407819,0.00005235975,0.2034523,0.06737684,0.005566786,0.04437183,0.03454337,0.000862067,0.002992622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6273002,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794508341520734,"score_gpt":0.2711893060951933,"score_spread":0.2532442226799859,"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."}}