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Record W4394580240 · doi:10.1016/j.kisu.2024.01.001

Capacity for the management of kidney failure in the International Society of Nephrology Latin America region: report from the 2023 ISN Global Kidney Health Atlas (ISN-GKHA)

2024· article· en· W4394580240 on OpenAlexafffund
Viviane Cálice-Silva, Javier A. Neyra, Alejandro Ferreiro Fuentes, Krissia Kamile Singer Wallbach Massai, Silvia Arruebo, Aminu K. Bello, Fergus Caskey, Sandrine Damster, Jo‐Ann Donner, Vivekanand Jha, David W. Johnson, Adeera Levin, Charu Malik, Masaomi Nangaku, Ikechi G. Okpechi, Marcello Tonelli, Feng Ye, Magdalena Madero, Carmen Tzanno‐Martins, Guillermo Álvarez, Atefeh Amouzegar, Denisse Arellano-Mendez, Gustavo Aroca, Roger Ayala Ferrari, Carlos Bonano, Edwin Castillo Velarde, Jonathan Samuel Chavez Iñiguez, Yeoungjee Cho, Rolando Claure‐Del Granado, Ricardo Correa‐Rotter, Alfonso M. Cueto–Manzano, Ana María Cusumano, Mogamat Razeen Davids, Sara N. Davison, Hassane M. Diongole, Smita Divyaveer, Udeme E. Ekrikpo, Isabelle Éthier, Ana Elizabeth Figueiredo, Winston Wing‐Shing Fung, Guillermo García-García, Anukul Ghimire, Martin Gomez, Maria Carlota Gonzalez Bedat, Ghenette Houston, Htay Htay, Kwaifa Salihu Ibrahim, Georgina Irish, Kailash Jindal, Dearbhla Kelly, Rowena Lalji, José A. Moura-Neto, Aisha M. Nalado, Brendon L. Neuen, Óscar Noboa, Irene L. Noronha, Timothy O. Olanrewaju, Mohamed A. Osman, Ana Cecilia Pastor Ludena, Анна Петрова, Andrea Pio-Abreu, Parnian Riaz, Jorge Rico-Fontalvo, Guillermo Rosa-Díez, Syed Saad, Aminu Muhammad Sakajiki, Angel Cristóbal Santacruz, Juan Santacruz, Emily See, Augusto César Soares dos Santos, Laura Solá, Stephen M. Sozio, Sophanny Tiv, Hernán Trimarchi, Somkanya Tungsanga, Andrea K. Viecelli, Marina Wainstein, Emily K. Yeung, Deenaz Zaidi

Bibliographic record

VenueKidney International Supplements · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryUniversity of Alberta
FundersUniversidad Nacional Autónoma de MéxicoInstituto Mexicano del Seguro SocialUniversiteit StellenboschUniversité de MontréalUniversity of AlbertaUniversidad de GuadalajaraIran University of Medical SciencesFaculty of Medicine and Dentistry, University of AlbertaChinese University of Hong KongPostgraduate Institute of Medical Education and Research, ChandigarhInternational Society of Nephrology
KeywordsNephrologyLatin AmericansMedicineKidneyInternal medicinePolitical scienceIntensive care medicineLaw

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.563
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.320
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2024
Admission routes2
Has abstractno

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