{"id":"W4200243252","doi":"10.1016/j.ekir.2021.12.011","title":"The Global Impact of the COVID-19 Pandemic on In-Center Hemodialysis Services: An ISN-Dialysis Outcomes Practice Patterns Study Survey","year":2021,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; University of British Columbia","funders":"Novo Nordisk; Fresenius Medical Care North America; AstraZeneca; Bayer; American Society of Nephrology","keywords":"Medicine; Pandemic; Latin Americans; Personal protective equipment; Economic shortage; Coronavirus disease 2019 (COVID-19); Demography; Mortality rate; East Asia; Hemodialysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Socioeconomics; Environmental health; Geography; Surgery; China; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00263017,0.0002346685,0.0004726776,0.0001187629,0.0001434166,0.00009579008,0.0003059456,0.0001011094,0.0002734281],"category_scores_gemma":[0.02495704,0.0001331197,0.0003771984,0.0005492523,0.00004557825,0.0002090964,0.0001807466,0.0003116698,0.000005552947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949013,"about_ca_system_score_gemma":0.003593093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05041465,"about_ca_topic_score_gemma":0.0565057,"domain_scores_codex":[0.9960803,0.0008351582,0.000964596,0.0005087918,0.001306421,0.0003047742],"domain_scores_gemma":[0.9952458,0.00135789,0.0007765659,0.001123303,0.0008582174,0.0006382108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004690267,0.001459267,0.9939097,0.00004176384,0.0008493493,0.0007869224,0.00109605,0.0001141433,0.00002008677,0.00001484237,0.0006710626,0.000567841],"study_design_scores_gemma":[0.00150926,0.0002031117,0.9907415,0.00007123838,0.0001742815,0.000618025,0.0007687656,0.00008579891,0.0000111131,0.00009058565,0.005613779,0.0001125309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700186,0.00002547454,0.00002614158,0.02729463,0.0008791041,0.0005320083,0.0003667491,0.00002831047,0.0008290159],"genre_scores_gemma":[0.9744306,0.00007388058,0.00001158587,0.02471581,0.0001233404,0.00002508907,0.0003171378,0.00001701443,0.0002855824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02232687,"threshold_uncertainty_score":0.9832562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.086497338079676,"score_gpt":0.4670885754010686,"score_spread":0.3805912373213926,"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."}}