{"id":"W2044638262","doi":"10.1016/j.ejheart.2006.01.014","title":"Corrigendum to “Effectiveness of Comprehensive Disease Management Programmes in Improving Clinical Outcomes in Heart Failure Patients. A Meta-Analysis” [Eur J Heart Fail 7 (2005) 1133—1144]","year":2006,"lang":"en","type":"erratum","venue":"European Journal of Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Regret; Medicine; Confidence interval; Meta-analysis; Intervention (counseling); Heart failure; Odds ratio; Raw data; Internal medicine; Statistics; Psychiatry; Mathematics","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":[0.01087435,0.004359107,0.009546707,0.005929034,0.001398642,0.004325914,0.004988448,0.004542492,0.1214029],"category_scores_gemma":[0.1205611,0.002342812,0.01381189,0.008222278,0.001054607,0.002105368,0.002498196,0.006682249,0.02199712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004062564,"about_ca_system_score_gemma":0.00350125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041228,"about_ca_topic_score_gemma":0.02550001,"domain_scores_codex":[0.9906673,0.004251534,0.001505478,0.0009694498,0.002259932,0.0003463184],"domain_scores_gemma":[0.9528714,0.02616875,0.002964712,0.002253771,0.01459727,0.001144097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001785764,0.0000139732,0.0001735759,0.004847975,0.00133394,0.0001620787,0.00001908158,0.0002147155,0.00005709854,0.0001865088,0.9866527,0.00615981],"study_design_scores_gemma":[0.004345234,0.000694723,0.01787984,0.01340543,0.02444736,0.001206689,0.0001477983,0.004470933,0.00112647,0.006768869,0.9249566,0.0005500643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002815563,0.02587472,0.002117057,0.04605184,0.9163367,0.0004302258,0.006178866,0.0005674265,0.002161641],"genre_scores_gemma":[0.02174574,0.0784782,0.01075743,0.2432753,0.4813626,0.005804413,0.0171572,0.001670251,0.1397489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1214029,"threshold_uncertainty_score":0.406133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211970886077718,"score_gpt":0.3163775502420004,"score_spread":0.2742578413812232,"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."}}