{"id":"W4402254737","doi":"10.1093/ndt/gfae126","title":"A global assessment of kidney care workforce","year":2024,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; University of Calgary; University of Alberta","funders":"Medical Research Council; Akebia Therapeutics; Astellas Pharma; International Society of Nephrology; Fresenius Medical Care North America; AstraZeneca; University of Alberta; Eli Lilly and Company; Heart and Stroke Foundation of Canada; National Health and Medical Research Council; Amgen","keywords":"Medicine; Workforce; Nephrology; Interquartile range; Population; Kidney disease; Internal medicine; Family medicine; Economic shortage; Dialysis; Environmental health; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004297557,0.0003932791,0.0002558283,0.004328209,0.0002600585,0.0007776172,0.0005033375,0.0004162869,0.002429579],"category_scores_gemma":[0.005917329,0.0001372427,0.0005209565,0.004353653,0.0003671325,0.001770058,0.002029487,0.0003830246,0.0003183022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000920635,"about_ca_system_score_gemma":0.001767087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243657,"about_ca_topic_score_gemma":0.004780267,"domain_scores_codex":[0.9983246,0.0004962843,0.0002269483,0.0001871878,0.0005328504,0.0002321993],"domain_scores_gemma":[0.9948131,0.0008716644,0.001736581,0.000209411,0.001700271,0.000669122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002743444,0.00002462418,0.9633195,0.0004581622,0.00009087454,0.00005662587,0.001073195,0.0008323364,0.0002766295,0.0007395749,0.005428517,0.02767244],"study_design_scores_gemma":[0.000003703509,0.0001184058,0.982711,0.0003238673,0.00002433853,0.0001753548,0.002158684,0.0007340354,0.0001469179,0.0004869833,0.01310204,0.0000147627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283026,0.006615968,0.004460276,0.006391511,0.0001902843,0.0002639255,0.02540136,0.0001292652,0.02824481],"genre_scores_gemma":[0.9860262,0.002410193,0.003006917,0.0005414208,0.00008848876,0.0002157268,0.006914969,0.00001417487,0.0007818861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005243657,"threshold_uncertainty_score":0.02272791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101412813365353,"score_gpt":0.3010199187610644,"score_spread":0.2908786374245291,"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."}}