{"id":"W3095924077","doi":"10.1111/petr.13891","title":"Multicenter data to improve health for pediatric renal transplant recipients in North America: Complementary approaches of NAPRTCS and IROC","year":2020,"lang":"en","type":"article","venue":"Pediatric Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"","keywords":"Medicine; Observational study; Life expectancy; Intensive care medicine; Quality of life (healthcare); Transplantation; Health care; Kidney transplantation; Clinical trial; Kidney disease; Pediatrics; Family medicine; Nursing; Surgery; Internal medicine; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320474,0.0002202071,0.0004568879,0.0002258538,0.00005661155,0.00001113136,0.0001489766,0.00004602384,0.0000109267],"category_scores_gemma":[0.00001226559,0.0001962535,0.00006514862,0.0004806549,0.00001825005,0.0001701586,0.00001424172,0.0001207453,0.000004132348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003516587,"about_ca_system_score_gemma":0.0000904852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604509,"about_ca_topic_score_gemma":0.0002983822,"domain_scores_codex":[0.9981048,0.0000534168,0.0006922677,0.0005491755,0.0002965838,0.0003037329],"domain_scores_gemma":[0.9991207,0.0001572716,0.0001872107,0.0001996932,0.00003633652,0.0002987747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002641472,0.0003038323,0.9844134,0.002985782,0.00006260238,0.00002948946,0.005673702,0.000129431,0.00007030913,0.00000655197,0.00005925525,0.003624148],"study_design_scores_gemma":[0.009850738,0.001177454,0.98528,0.00006356401,0.0009318673,0.00001357861,0.0001066845,0.002170867,0.0001144533,0.000002695144,0.00008830328,0.0001997381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704545,0.000434075,0.01797953,0.00178575,0.0001004996,0.002089139,0.007106146,0.00003317923,0.00001716976],"genre_scores_gemma":[0.9673059,0.009780332,0.01377633,0.0007464011,0.0002078201,0.0000728431,0.008078903,0.00002637916,0.000005064003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009346257,"threshold_uncertainty_score":0.8002985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120255538572336,"score_gpt":0.322158080689351,"score_spread":0.2101325268321174,"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."}}