{"id":"W2884668939","doi":"10.1177/0962280218786980","title":"Joint modelling for organ transplantation outcomes for patients with diabetes and the end-stage renal disease","year":2018,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Renal function; Proportional hazards model; Kidney transplantation; End stage renal disease; Transplantation; Internal medicine; Disease; Intensive care medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0077869,0.0008736044,0.001857645,0.0009888136,0.0005582423,0.001458371,0.001961584,0.001230275,0.002821892],"category_scores_gemma":[0.02232409,0.000558464,0.002636635,0.001616816,0.0008403743,0.001190011,0.002023603,0.002521044,0.0003888473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060259,"about_ca_system_score_gemma":0.001935559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398686,"about_ca_topic_score_gemma":0.01446845,"domain_scores_codex":[0.9965782,0.002316945,0.0001310748,0.0004841277,0.0002022345,0.0002874967],"domain_scores_gemma":[0.9878697,0.009618383,0.001148156,0.0006678566,0.0003471164,0.0003487706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003638237,0.0002052885,0.05085831,0.0001060502,0.0004222031,0.0002944528,0.0004101903,0.8907496,0.0004574164,0.02396958,0.000760385,0.03140277],"study_design_scores_gemma":[0.00002942061,0.0001093523,0.005583923,0.00001872707,0.0000603739,0.00006176266,0.0000738333,0.9804018,0.0001127796,0.01304223,0.0004865723,0.00001929756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3175493,0.0009237903,0.6773711,0.001372049,0.00009957991,0.0001773041,0.001030486,0.0002723112,0.001204144],"genre_scores_gemma":[0.9441321,0.0005903121,0.04960357,0.0001167213,0.00008845182,0.0004032638,0.001373372,0.00005913943,0.003633138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01398686,"threshold_uncertainty_score":0.04118156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148554491541268,"score_gpt":0.4956272917796851,"score_spread":0.3470728002384171,"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."}}