{"id":"W4412084497","doi":"10.34067/kid.0000000866","title":"Long-Term Outcomes of COVID-19 in Patients Receiving Maintenance Dialysis","year":2025,"lang":"en","type":"article","venue":"Kidney360","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Stroke Network; University of British Columbia; Western University; Institute for Clinical Evaluative Sciences; London Health Sciences Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Dialysis; Hazard ratio; Population; Cohort; Coronavirus disease 2019 (COVID-19); Cohort study; Confounding; Proportional hazards model; Internal medicine; Intensive care medicine; Emergency medicine; Pediatrics; Confidence interval; Disease; Infectious disease (medical specialty); Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600018,0.0001463953,0.0005476864,0.0004353635,0.00004548167,0.000008855196,0.0001240658,0.0001111608,0.0001362659],"category_scores_gemma":[0.00790468,0.0001225553,0.0001284101,0.0006163149,0.00006000122,0.00006319586,0.00007067232,0.0001971708,0.00001368847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006425873,"about_ca_system_score_gemma":0.001399601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154521,"about_ca_topic_score_gemma":0.0008056472,"domain_scores_codex":[0.9985776,0.00006655066,0.0004803633,0.0002717457,0.0002657622,0.0003380125],"domain_scores_gemma":[0.9985811,0.0003169258,0.0001258616,0.0004281682,0.0001261255,0.0004217793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001818284,0.0002201294,0.9843944,0.0008800549,0.00005691784,0.0000215055,0.0005607607,0.000002634534,0.00005595838,0.000107442,0.0047185,0.008799855],"study_design_scores_gemma":[0.003256273,0.0001054079,0.9927266,0.0004073619,0.00006584507,6.288359e-7,0.00003651271,0.00001310072,0.0001244676,0.000161062,0.003010819,0.00009190218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680345,0.0001266933,0.0003969074,0.02864524,0.0003292327,0.0005148184,0.00002650186,0.00005243206,0.00187365],"genre_scores_gemma":[0.9752268,0.00009440985,0.0001044929,0.02238141,0.00002539946,0.00001536728,0.00003535501,0.00001205647,0.002104734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008707953,"threshold_uncertainty_score":0.9463212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04055083029233048,"score_gpt":0.3869660924379915,"score_spread":0.346415262145661,"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."}}