{"id":"W4404917910","doi":"10.1371/journal.pgph.0003979","title":"Landscape of kidney replacement therapy provision in low- and lower-middle income countries: A multinational study from the ISN-GKHA","year":2024,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; University of Alberta","funders":"Daiichi Sankyo Europe; Medical Research Council; Chugai Pharmaceutical; Akebia Therapeutics; Astellas Pharma; University of Alberta; International Society of Nephrology; National Health and Medical Research Council; BioCryst; Fresenius Medical Care North America; AstraZeneca; Eli Lilly and Company; Heart and Stroke Foundation of Canada; Amgen","keywords":"Medicine; Nephrology; Kidney disease; Renal replacement therapy; Peritoneal dialysis; Reimbursement; Kidney transplantation; Population; Dialysis; Health care; Intensive care medicine; Transplantation; Family medicine; Economic growth; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001149055,0.0001369723,0.0003160925,0.0001013668,0.00006531956,0.0001081748,0.0001128603,0.00003510463,0.0002533917],"category_scores_gemma":[0.0003125323,0.00007965357,0.00005673333,0.0004918629,0.00004713268,0.0001009133,0.0001064181,0.0001107641,0.00001352476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302542,"about_ca_system_score_gemma":0.0008951545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008247261,"about_ca_topic_score_gemma":0.0001284346,"domain_scores_codex":[0.9980291,0.0001826484,0.000474791,0.0003540555,0.000705637,0.0002537658],"domain_scores_gemma":[0.9990577,0.000115051,0.00009451034,0.0002845467,0.0001007722,0.0003474754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001346544,0.009614035,0.9252757,0.002640065,0.001380234,0.00008698737,0.007140284,0.00001279952,0.000009513181,0.004521682,0.02764194,0.02033024],"study_design_scores_gemma":[0.00720939,0.002292477,0.9133165,0.002710598,0.00009370354,0.000002270419,0.003151567,0.01160335,0.000003919289,0.0002332712,0.05918215,0.0002007742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419033,0.002822172,0.00002835201,0.0519904,0.0001575178,0.001741672,0.000237664,0.00004667809,0.00107225],"genre_scores_gemma":[0.9939631,0.0005560163,0.00005236725,0.005053055,0.0001082423,0.00006916093,0.0001056935,0.000009619605,0.00008280639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05205974,"threshold_uncertainty_score":0.3248178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705850639730257,"score_gpt":0.3081326068231733,"score_spread":0.2810741004258708,"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."}}