{"id":"W2594140903","doi":"10.1002/ehf2.12136","title":"Differentiating Heart Failure Phenotypes Using Sex-Specific Transcriptomic and Proteomic Biomarker Panels","year":2017,"lang":"en","type":"article","venue":"ESC Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Canadian VIGOUR Centre; University of Alberta; University of Calgary; BGC Engineering (Canada); Health Sciences Centre; Canadian Blood Services; Prevention of Organ Failure; University of British Columbia","funders":"","keywords":"Heart failure; Medicine; Biomarker; Internal medicine; Ejection fraction; Heart failure with preserved ejection fraction; Cohort; Cardiology; Natriuretic peptide; Biomarker discovery; Transcriptome; Proteomics; Gene expression; Gene; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001614234,0.0007572691,0.0004509025,0.001215423,0.0002629331,0.0009507898,0.0002346151,0.0004494917,0.0009761201],"category_scores_gemma":[0.002354878,0.0001245937,0.0005621623,0.0005971561,0.0002254798,0.0003657533,0.0005311086,0.0004481201,0.0003763752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269596,"about_ca_system_score_gemma":0.0002446827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009513104,"about_ca_topic_score_gemma":0.001899523,"domain_scores_codex":[0.9994946,0.0001064261,0.0000491622,0.000162298,0.0001368517,0.0000505524],"domain_scores_gemma":[0.998983,0.0002482126,0.0003440604,0.00008462795,0.0002459215,0.000094157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009470594,0.0001165555,0.8812333,0.0001106428,0.0004082778,0.0002186671,0.0001447056,0.00155046,0.07599611,0.00009169547,0.0006293756,0.03855322],"study_design_scores_gemma":[0.00004148814,0.0006120774,0.971298,0.00004928846,0.00026658,0.0009090313,0.0001450087,0.009338742,0.0155619,0.0004430072,0.001300689,0.0000343044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867893,0.001444175,0.007882757,0.0001825454,0.00004256717,0.00007760006,0.00238756,0.0001107062,0.001082884],"genre_scores_gemma":[0.9883774,0.000384118,0.007130946,0.0001726832,0.00004769467,0.0000545535,0.003386605,0.00001537391,0.0004306273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614234,"threshold_uncertainty_score":0.008536935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902961336711177,"score_gpt":0.2859119927259446,"score_spread":0.2468823793588328,"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."}}