{"id":"W381513395","doi":"10.1371/journal.pone.0124844","title":"Metabolomic Fingerprint of Heart Failure with Preserved Ejection Fraction","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; The Metabolomics Innovation Centre; University of Calgary; University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Heart failure; Metabolomics; Ejection fraction; Internal medicine; Medicine; Cardiology; Heart failure with preserved ejection fraction; Creatinine; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663046,0.00009839008,0.0002210466,0.00004923825,0.00003117151,0.000008949058,0.00007333214,0.00006963089,0.00001833249],"category_scores_gemma":[0.0001293789,0.00008258569,0.00003986071,0.00009967622,0.00003812376,0.000005203388,0.00006616084,0.00007186535,0.000007708595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001218885,"about_ca_system_score_gemma":0.00004045541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000381898,"about_ca_topic_score_gemma":0.00004920217,"domain_scores_codex":[0.999308,0.00003936463,0.0001363107,0.0002094917,0.0001765332,0.0001302834],"domain_scores_gemma":[0.9994075,0.000006579493,0.00009121202,0.0002504085,0.0001879942,0.00005626646],"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":[0.0001873383,0.0003623904,0.02557927,0.00002532765,0.00036452,1.876022e-7,0.00001089568,0.00001691503,0.9721611,0.00006879897,0.0012047,0.00001855315],"study_design_scores_gemma":[0.0005315766,0.000485744,0.008395832,0.00001598847,0.0001153015,0.000001276767,0.0001183366,0.0000361288,0.9817427,0.00008936744,0.008354298,0.0001133842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973078,0.000710596,0.0005892609,0.0003377976,0.0000307443,0.0001612897,0.000007198912,0.0000119384,0.0008433685],"genre_scores_gemma":[0.985613,0.0001339649,0.01368023,0.00004203451,0.0001319125,0.00002605259,0.00002570855,0.00001391463,0.0003331921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718343,"threshold_uncertainty_score":0.3367747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03510604650417243,"score_gpt":0.2326051261830996,"score_spread":0.1974990796789272,"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."}}