{"id":"W2957034110","doi":"10.1016/j.jchf.2019.04.020","title":"Impact of Malnutrition Using Geriatric Nutritional Risk Index in Heart Failure With Preserved Ejection Fraction","year":2019,"lang":"en","type":"article","venue":"JACC Heart Failure","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Heart failure; Malnutrition; Hazard ratio; Ejection fraction; Internal medicine; Heart failure with preserved ejection fraction; Confidence interval; Cardiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004662343,0.0002365083,0.000591468,0.0007675773,0.000114759,0.00003273826,0.00005508438,0.0003166108,0.001034115],"category_scores_gemma":[0.000059904,0.0002119671,0.0002159142,0.001024953,0.00004197974,0.0004840548,0.00002301244,0.0007773372,0.00006202859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005192225,"about_ca_system_score_gemma":0.0003327227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350746,"about_ca_topic_score_gemma":0.0001748062,"domain_scores_codex":[0.99788,0.0002061277,0.0005541643,0.0004232985,0.0005154439,0.0004209189],"domain_scores_gemma":[0.9987846,0.0001115065,0.0002412356,0.000337127,0.0003245434,0.0002010056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121285,0.0005633215,0.9641375,0.0006206338,0.00003944416,0.00000452264,0.00002654757,0.0003639221,0.02526893,0.00001459809,0.007813024,0.00002627623],"study_design_scores_gemma":[0.007437664,0.0008696293,0.9762273,0.0009862906,0.00005463347,0.0002172983,0.0002774616,0.003476464,0.001170811,0.0002042714,0.008851063,0.0002270416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941053,0.0001343664,0.0003743572,0.003693272,0.0001090284,0.001375899,0.00005242752,0.00007527978,0.00008008815],"genre_scores_gemma":[0.980087,0.0000376251,0.01905576,0.0001837495,0.0003883718,0.00004323879,0.0001203649,0.00004050517,0.00004337999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409812,"threshold_uncertainty_score":0.9998791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019654917054332,"score_gpt":0.3203815227761749,"score_spread":0.3001849736056316,"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."}}