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Record W4406843929 · doi:10.1016/j.ekir.2024.11.1140

WCN25-2604 Serum potassium levels in Chronic Kidney disease and Urinary tract infections

2025· article· en· W4406843929 on OpenAlexaff
Sameena Iqbal, Song-ah Chai, Khashayar Rafatzand, Celena Scheede‐Bergdahl

Bibliographic record

VenueKidney International Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsMcGill UniversityNational Defence Medical Centre
Fundersnot available
KeywordsMedicineUrinary systemKidney diseasePotassiumKidneyInternal medicineGastroenterologyImmunology

Abstract

fetched live from OpenAlex

Conclusion: MPA AUC increases by 13 units for every 1 mg/dl increase in serum creatinine.The dose of MPA AUC needs to be adjusted for increase in serum creatinine to avoid mycophenolate toxicity whenever there is acute or chronic graft dysfunction.MPA AUC increases by 50% after 1 year compared to a value in the first 3 months post kidney transplantation.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.292
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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