{"id":"W3048196411","doi":"10.1016/j.kint.2020.07.014","title":"Measuring quality in living donation and kidney transplantation: moving beyond survival metrics","year":2020,"lang":"en","type":"article","venue":"Kidney International","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Ottawa Hospital; Translational Research in Oncology; University Health Network; Canadian Patient Safety Institute; Canadian Blood Services; Centre for Advancing Health Outcomes; Université de Montréal; University of British Columbia; Centre Hospitalier de l’Université de Montréal; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Kidney donation; Transplantation; Donation; Kidney transplantation; Quality (philosophy); Intensive care medicine; Internal medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04683857,0.001112466,0.002197464,0.005821427,0.0009490724,0.007947869,0.002352443,0.001668988,0.002340599],"category_scores_gemma":[0.1440693,0.0003573613,0.001309409,0.007894486,0.001910918,0.009069087,0.005433041,0.004459776,0.0004125591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004579608,"about_ca_system_score_gemma":0.009288303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00991909,"about_ca_topic_score_gemma":0.01189699,"domain_scores_codex":[0.9502103,0.02987126,0.005715255,0.002200995,0.01080896,0.001193206],"domain_scores_gemma":[0.8458385,0.08188407,0.02863299,0.007180905,0.02674511,0.009718434],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001814254,0.0005254524,0.57902,0.001854387,0.001668662,0.00004897974,0.001083313,0.004573386,0.0002539302,0.02992195,0.02232595,0.3585426],"study_design_scores_gemma":[0.00009030633,0.001899336,0.7277574,0.007477532,0.001149135,0.0005422583,0.005698678,0.02670017,0.002173686,0.1588724,0.0672093,0.0004297605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4012961,0.1339724,0.1910688,0.2019972,0.007885419,0.001049994,0.009145536,0.0008153648,0.05276911],"genre_scores_gemma":[0.9088733,0.01684422,0.06024432,0.007255881,0.002346646,0.0004443141,0.002727777,0.0001374993,0.001126055],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9531614,"threshold_uncertainty_score":0.247709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05341991152949115,"score_gpt":0.296328289612496,"score_spread":0.2429083780830049,"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."}}