{"id":"W2161552346","doi":"10.1186/2047-1440-2-2","title":"Estimating the long term impact of kidney donation on life expectancy and end stage renal disease","year":2013,"lang":"en","type":"article","venue":"Transplantation Research","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Medicine; End stage renal disease; Population; Life expectancy; Renal function; Proteinuria; Hazard ratio; Nephrectomy; Donation; Kidney disease; Proportional hazards model; Internal medicine; Urology; Disease; Kidney; Confidence interval; 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":[0.004020345,0.0004495359,0.0003369706,0.0009399243,0.0001589314,0.0006459222,0.0005564189,0.0004906174,0.001449871],"category_scores_gemma":[0.01294311,0.0002091392,0.000994783,0.000773574,0.0002552881,0.0007439743,0.0007428723,0.0005470221,0.0002185999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009681563,"about_ca_system_score_gemma":0.0009059065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006102621,"about_ca_topic_score_gemma":0.004452577,"domain_scores_codex":[0.9988965,0.0007408248,0.00005467083,0.0001036807,0.0001356886,0.00006866099],"domain_scores_gemma":[0.9908201,0.006655363,0.001270531,0.0003302056,0.0005342934,0.0003893999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001947053,0.00008159964,0.8982925,0.00007898017,0.0005236423,0.00007065747,0.00005717685,0.09039874,0.0001266818,0.000580491,0.0003270847,0.009267812],"study_design_scores_gemma":[0.00004019124,0.001359645,0.6788521,0.0001484624,0.0006103896,0.0004651203,0.0003983012,0.3113629,0.0007656213,0.004374871,0.001567391,0.00005503905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983036,0.0006594942,0.01186232,0.0003301364,0.00002027,0.00007094478,0.002378439,0.00004367527,0.001598624],"genre_scores_gemma":[0.995912,0.0002816466,0.002418469,0.00002378682,0.000009300476,0.0000395436,0.001093239,0.000003963683,0.0002182548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006102621,"threshold_uncertainty_score":0.02126187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155303547135721,"score_gpt":0.389906554820808,"score_spread":0.3383535193494508,"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."}}