{"id":"W263961976","doi":"10.2165/11591090-000000000-00000","title":"Co-Morbidity and Potential Treatment Conflicts in Elderly Heart Failure Patients","year":2011,"lang":"en","type":"article","venue":"Drugs & Aging","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Medical Research Council; National Health and Medical Research Council; Australian Research Council; AGE-WELL; U.S. Department of Veterans Affairs","keywords":"Medicine; Interquartile range; Cohort; Depression (economics); Heart failure; Internal medicine; Adverse effect; Population; Comorbidity; Veterans Affairs; Cohort study; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008184026,0.0001063528,0.0003837057,0.0007112595,0.001106774,0.0007274873,0.0001830747,0.0005825381,0.002552939],"category_scores_gemma":[0.007502815,0.0001229619,0.0003363554,0.0008380728,0.0002431148,0.0006333517,0.0005091252,0.0008303691,0.0001539691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005373161,"about_ca_system_score_gemma":0.0007754387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453057,"about_ca_topic_score_gemma":0.007084263,"domain_scores_codex":[0.9992304,0.0003380661,0.0001226947,0.00003570266,0.0001043414,0.0001687777],"domain_scores_gemma":[0.9959128,0.001214129,0.001437313,0.00006324095,0.0002651778,0.001107134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002548837,0.0001594626,0.9912674,0.0000208659,0.00005806368,0.0007272518,0.0002329461,0.00005474057,0.00004958986,0.0001174058,0.0003826546,0.006674812],"study_design_scores_gemma":[0.00002423566,0.0002949196,0.9932141,0.00004073969,0.00007948515,0.002603313,0.002122002,0.0004777176,0.00005247874,0.0003221922,0.0007577698,0.00001104046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930636,0.001491381,0.00005693082,0.001472215,0.00003538689,0.000008863165,0.0001195542,0.000001734328,0.00375027],"genre_scores_gemma":[0.9991444,0.000348293,0.00006677052,0.0001873151,0.00006741889,0.000005187099,0.00006127541,6.920507e-7,0.000118682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552939,"threshold_uncertainty_score":0.008540392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225445706389538,"score_gpt":0.2664586885989185,"score_spread":0.2442042315350231,"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."}}