{"id":"W4299511830","doi":"","title":"Chronic Kidney Disease and ageing of older population","year":2014,"lang":"es","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ageing; Population ageing; Kidney disease; Disease; Medicine; Gerontology; Population; Internal medicine; Environmental health","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":[0.0004336838,0.0001423721,0.0003402358,0.001300918,0.0004091023,0.0008411731,0.0001478427,0.0008103097,0.004053672],"category_scores_gemma":[0.002420516,0.00007110953,0.0003127619,0.002088188,0.0001799353,0.0007742706,0.0005656716,0.0008795827,0.0004388707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003174047,"about_ca_system_score_gemma":0.0009592669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007838842,"about_ca_topic_score_gemma":0.01360775,"domain_scores_codex":[0.9996779,0.00008731618,0.00006306632,0.00002823348,0.00008710202,0.00005639379],"domain_scores_gemma":[0.9986975,0.0001738471,0.0004715432,0.00002950882,0.0001998607,0.0004277722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000106717,0.0002731086,0.9090682,0.000408393,0.0001117192,0.0005921884,0.0005379428,0.00006637071,0.0002811751,0.001956668,0.02225272,0.06434482],"study_design_scores_gemma":[0.000007778659,0.00008608487,0.9849916,0.0001716012,0.00004188457,0.0004676673,0.0003846491,0.0000607833,0.00001621342,0.0006415482,0.01312374,0.000006522026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6840075,0.1759206,0.0005867352,0.05793023,0.005959695,0.0001219281,0.01062818,0.00008759181,0.06475747],"genre_scores_gemma":[0.906374,0.07290865,0.0006022802,0.004711736,0.005154124,0.00008130867,0.002744919,0.00001163786,0.007411391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007838842,"threshold_uncertainty_score":0.01558644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09406813892025243,"score_gpt":0.4861905512590121,"score_spread":0.3921224123387597,"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."}}