{"id":"W3201256052","doi":"10.1177/20543581211040332","title":"Kidney Transplantation in Times of Covid-19: Decision Analysis in the Canadian Context","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Kidney transplantation; Dialysis; Context (archaeology); Confidence interval; Transplantation; Pandemic; Cohort; Vaccination; Quality-adjusted life year; Internal medicine; Intensive care medicine; Disease; Coronavirus disease 2019 (COVID-19); Cost effectiveness; Immunology; Infectious disease (medical specialty)","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":[0.005811302,0.00208844,0.001786186,0.002065079,0.002657488,0.003378216,0.003259264,0.002620288,0.008047285],"category_scores_gemma":[0.01501884,0.001172713,0.002386628,0.003017,0.001963802,0.001043273,0.002127018,0.003114394,0.000261201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07106775,"about_ca_system_score_gemma":0.06548657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9557759,"about_ca_topic_score_gemma":0.9369257,"domain_scores_codex":[0.9954271,0.001831804,0.00009013591,0.0004799214,0.0003871791,0.001783763],"domain_scores_gemma":[0.9873728,0.008390102,0.0008816535,0.0001803536,0.001350859,0.001824184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009118085,0.0002912956,0.01783606,0.0002275846,0.0003960291,0.0003413523,0.0001621805,0.9548135,0.0001369566,0.01285816,0.00504147,0.006983559],"study_design_scores_gemma":[0.0006178844,0.0003684697,0.01304385,0.0001260003,0.0004126176,0.0001013463,0.0007836449,0.9745587,0.0001284272,0.00639992,0.003332071,0.0001271734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123065,0.004123012,0.01812556,0.01384507,0.0002237223,0.00178584,0.01460016,0.0001830152,0.03480715],"genre_scores_gemma":[0.9846913,0.001314003,0.008078199,0.0006390466,0.0000660864,0.0002623002,0.001974392,0.00002433437,0.002950377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07106775,"threshold_uncertainty_score":0.515635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268689101265652,"score_gpt":0.3581455497670982,"score_spread":0.3254586587544417,"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."}}