{"id":"W4306255309","doi":"10.1093/eurheartj/ehac544.781","title":"Targeted discovery proteomics to identify clinical phenotypes in heart failure with preserved ejection fraction: a proteomics substudy of VITALITY-HFpEF","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Alberta","funders":"","keywords":"Medicine; Heart failure with preserved ejection fraction; Heart failure; Internal medicine; Ejection fraction; Cardiology; Disease; GDF15; Proteomics; Bioinformatics; Genetics; 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":[],"consensus_categories":[],"category_scores_codex":[0.002965709,0.0001880358,0.0004647588,0.0002890849,0.0002863044,0.00007910333,0.0001549513,0.00006384457,0.0001609221],"category_scores_gemma":[0.0002523533,0.0001480319,0.0002095969,0.0006357445,0.00007804234,0.0002887744,0.0001563613,0.001614476,0.0000299214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850898,"about_ca_system_score_gemma":0.0002403956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003674288,"about_ca_topic_score_gemma":0.00002297784,"domain_scores_codex":[0.9965339,0.001376872,0.0008211522,0.0003502152,0.0006015531,0.0003163074],"domain_scores_gemma":[0.9989434,0.00006620755,0.0002823402,0.0003169994,0.0001477803,0.0002432894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00418512,0.0009767395,0.91842,0.00006042884,0.0002332398,0.0002685887,0.0002853033,0.000525184,0.06505591,0.000003806289,0.009930556,0.00005514933],"study_design_scores_gemma":[0.00329526,0.002730148,0.9779384,0.0002176421,0.00009357638,0.001134908,0.001390657,0.00008587028,0.002279144,0.0000155804,0.01062175,0.0001971275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935063,0.0001006413,0.0004564067,0.003817331,0.0004435334,0.001330664,0.00001024334,0.00003530614,0.0002996209],"genre_scores_gemma":[0.9913435,0.00001476417,0.007376437,0.0004036035,0.0003656554,0.00002243607,0.00001469029,0.00005737372,0.0004015193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06277676,"threshold_uncertainty_score":0.7014187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863246891018787,"score_gpt":0.336183294303972,"score_spread":0.2975508253937841,"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."}}