{"id":"W2013571178","doi":"10.1016/j.healun.2015.01.494","title":"Inclusion of Cognitive and Mood Domains in the Assessment of Frailty Enhances Outcome Prediction in Heart Transplant-Eligible Patients With Advanced Heart Failure","year":2015,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heart failure; Medicine; Internal medicine; Depression (economics); Mood; Ejection fraction; Montreal Cognitive Assessment; Gerontology; Population; Cognitive decline; Proportional hazards model; Physical therapy; Dementia; Psychiatry; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543935,0.0007580944,0.001459522,0.0006472665,0.0005673002,0.001325037,0.0003488099,0.0006776924,0.001214348],"category_scores_gemma":[0.004675379,0.0002458962,0.001530804,0.0005877427,0.0002037785,0.001028089,0.0009509709,0.001149418,0.0002498142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246667,"about_ca_system_score_gemma":0.0006205938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543527,"about_ca_topic_score_gemma":0.01218572,"domain_scores_codex":[0.9994292,0.0001814285,0.000102274,0.00007488861,0.00009872005,0.0001135289],"domain_scores_gemma":[0.9984163,0.000460903,0.0004325649,0.00006740433,0.0002630529,0.0003598071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001866145,0.0005840166,0.9791055,0.00006937158,0.0003524494,0.00004699353,0.000114199,0.0002790366,0.000287113,0.00003189743,0.0003819032,0.01688135],"study_design_scores_gemma":[0.0001285058,0.001085923,0.9954099,0.00007859206,0.0003535247,0.00008413978,0.0001877702,0.002007499,0.0001932624,0.0001738724,0.0002765584,0.00002040278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976866,0.0006054119,0.0001438942,0.0002043726,0.00004264007,0.00002742978,0.0001692028,0.00000586261,0.001114385],"genre_scores_gemma":[0.9987839,0.0002471627,0.0003762859,0.00009103079,0.00004288936,0.00002173751,0.0002461587,0.000001452777,0.0001894896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543527,"threshold_uncertainty_score":0.00816524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472421996321935,"score_gpt":0.3120133245638393,"score_spread":0.2972891046006199,"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."}}