{"id":"W3163392917","doi":"10.1016/j.xkme.2021.03.006","title":"Worldwide Early Impact of COVID-19 on Dialysis Patients and Staff and Lessons Learned: A DOPPS Roundtable Discussion","year":2021,"lang":"en","type":"article","venue":"Kidney Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Vifor Pharma; Novo Nordisk; Kyowa Kirin Pharmaceutical Development; FibroGen; Chulalongkorn University; GlaxoSmithKline; Astellas Pharma US; Amgen; Fresenius Medical Care North America; AstraZeneca; Boehringer Ingelheim","keywords":"Dialysis; Medicine; Pandemic; Population; Case fatality rate; Health care; Intensive care medicine; Public health; Coronavirus disease 2019 (COVID-19); Medical emergency; Disease; Family medicine; Emergency medicine; Nursing; Internal medicine; Environmental health; Infectious disease (medical specialty); Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01573939,0.0009049385,0.0008994679,0.0008795903,0.003681899,0.00693187,0.002898313,0.01495506,0.01281491],"category_scores_gemma":[0.02145676,0.0005665241,0.001486735,0.0007257896,0.002233242,0.00816552,0.006300667,0.01707439,0.002373453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005304493,"about_ca_system_score_gemma":0.01507106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008911882,"about_ca_topic_score_gemma":0.01761337,"domain_scores_codex":[0.9941713,0.00200084,0.0005102718,0.000524198,0.001200778,0.00159248],"domain_scores_gemma":[0.9703431,0.01280786,0.001240567,0.0006574939,0.00521556,0.009735454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000885659,0.0001081881,0.002325631,0.0008115688,0.00005401748,0.000699926,0.001239417,0.0002027711,0.00030167,0.005341454,0.90792,0.08090679],"study_design_scores_gemma":[0.00007966648,0.0003260717,0.01094584,0.00496419,0.0001197316,0.0008343011,0.0124787,0.0003682863,0.000650961,0.01207048,0.9570178,0.0001439048],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001486656,0.01212309,0.0002062545,0.967787,0.01602877,0.00002738811,0.0002536374,0.00004594399,0.002041379],"genre_scores_gemma":[0.05610759,0.05931995,0.00264776,0.8294454,0.04134268,0.0002063693,0.00100563,0.0001256853,0.009798956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01573939,"threshold_uncertainty_score":0.0832389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08703595549733498,"score_gpt":0.42856537179612,"score_spread":0.3415294162987851,"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."}}