{"id":"W4416816832","doi":"10.1111/ctr.70402","title":"One Size Doesn't Fit All: A Review of International Deceased Donor Kidney Allocation Algorithms","year":2025,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Transparency (behavior); Kidney transplantation; MEDLINE; Location-allocation; Cost allocation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02286931,0.0008806201,0.0027876,0.01552365,0.0006456142,0.002959018,0.002246161,0.001197678,0.002474967],"category_scores_gemma":[0.07167283,0.0007223361,0.002793064,0.01731881,0.001266493,0.004013357,0.001667215,0.001431604,0.0003519974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004752495,"about_ca_system_score_gemma":0.0174848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006142582,"about_ca_topic_score_gemma":0.01519952,"domain_scores_codex":[0.9859204,0.005300515,0.005380483,0.0007925692,0.002340551,0.0002656078],"domain_scores_gemma":[0.9301468,0.05127979,0.00935392,0.0008567372,0.007799807,0.0005629347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001448475,0.00003574926,0.001580286,0.2892737,0.001181345,0.00008247937,0.0008655456,0.0006339374,0.0001877289,0.004822636,0.01226759,0.6889242],"study_design_scores_gemma":[0.00007633424,0.0002590506,0.007006588,0.7663258,0.005274376,0.0006785149,0.00118066,0.0004811791,0.0002972614,0.003091338,0.21527,0.00005886616],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004771606,0.9969502,0.0003886313,0.001304241,0.0001570641,0.00004984215,0.00006390686,0.000008155385,0.0006009039],"genre_scores_gemma":[0.008234808,0.9880607,0.002076231,0.001115083,0.0001447986,0.0001070355,0.0001438174,0.00001150333,0.0001058763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02286931,"threshold_uncertainty_score":0.1209459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05923412551727582,"score_gpt":0.4061956091185454,"score_spread":0.3469614836012695,"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."}}