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Record W2955452653 · doi:10.1016/j.ekir.2019.05.779

SUN-274 SMOKING, SMOKING CESSATION, AND PROGRESSION OF CHRONIC KIDNEY DISEASE: FROM THE KOREAN COHORT STUDY FOR OUTCOME IN PATIENTS WITH CHRONIC KIDNEY DISEASE (KNOW-CKD)

2019· article· en· W2955452653 on OpenAlexfundno aff
K. PARK, Si Yeong Lee, S.Y. Lee, G. Lee, Si-Ping Han

Bibliographic record

VenueKidney International Reports · 2019
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaKillam TrustsWestern Canada Research GridCompute Canada
KeywordsMedicineKidney diseaseInternal medicineCohortSmoking cessationCohort studyRenal functionDiseaseRisk factorPathology

Abstract

fetched live from OpenAlex

Smoking is a risk factor of developing incident chronic kidney disease (CKD). However, most studies have included relatively healthy people without CKD, and studies investigating the association between smoking and deterioration of kidney function in patients with CKD are scarce.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.305
Teacher spread0.293 · 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 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
Published2019
Admission routes1
Has abstractyes

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