{"id":"W4295758924","doi":"10.1002/ejhf.2689","title":"Multi‐biomarker approach to predict survival and adverse cardiovascular events among patients with heart failure with preserved ejection fraction","year":2022,"lang":"en","type":"letter","venue":"European Journal of Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"European Society of Cardiology","keywords":"Medicine; Library science; Gerontology; Computer science","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":[0.001951824,0.0004519323,0.00139914,0.0007785666,0.0007678564,0.001474927,0.0005505856,0.003201747,0.001230324],"category_scores_gemma":[0.00907809,0.000218834,0.0008056893,0.0007107086,0.0003522141,0.0008176309,0.0005391938,0.00445356,0.0007028962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795072,"about_ca_system_score_gemma":0.001075258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778514,"about_ca_topic_score_gemma":0.004618935,"domain_scores_codex":[0.9990407,0.0003908687,0.0001387377,0.000108134,0.0002112644,0.0001103351],"domain_scores_gemma":[0.9958948,0.002193571,0.0002176217,0.0001221672,0.0009537725,0.0006180216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00308619,0.001037168,0.7070191,0.0002040669,0.0008509822,0.005574843,0.0002981641,0.001572211,0.002255034,0.001639729,0.1302307,0.1462318],"study_design_scores_gemma":[0.002355184,0.004111554,0.7939261,0.0008951463,0.002059913,0.0146884,0.001757169,0.04402462,0.00266191,0.03422182,0.09895709,0.0003410644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3041066,0.01259872,0.004781216,0.6418662,0.01489317,0.0002014058,0.001575738,0.0001500568,0.01982691],"genre_scores_gemma":[0.8155068,0.003428448,0.006878824,0.1427155,0.02469819,0.0003876506,0.0007364387,0.00003133704,0.005616774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003201747,"threshold_uncertainty_score":0.01032239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579800266555798,"score_gpt":0.2145768749592339,"score_spread":0.1987788722936759,"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."}}