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Record W4393851232 · doi:10.1016/j.ekir.2024.02.526

WCN24-1010 Ramadan Fasting and Kidney Disease Initiative (RaK Initiative)

2024· article· en· W4393851232 on OpenAlexaff
Yousef Boobes, Bachar Afandi, Fatima AlKindi, Ahmad Raed Tarakji, Saeed Al Ghamdi, Mona Alrukhaimi, Mohamed Hassanein, Ali AlSahow, Riyad Said, Khaled Boubes, Jafar Alsaid, Abdulkareem Alsuwaida, Ali Al Obaidli, Nizar Attallah

Bibliographic record

VenueKidney International Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsMcMaster UniversityRegional Municipality of Waterloo
Fundersnot available
KeywordsMedicineKidney diseaseGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Fasting during the month of Ramadan constitutes an annual Islamic religious practice, necessitating abstinence from food and drink from dawn to sunset. Ramadan Fasting (RF) is an obligatory practice after puberty and some individuals are exempted including sick people, children, elderly, pregnant and menstruating women. Diabetes and Ramadan International Alliance has major impact on enhancing researches in field of diabetes and RF over many years. Limited studies have examined the effect of RF in various kidney diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1030.035

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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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