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Record W762881180 · doi:10.1016/j.cjca.2015.06.020

Assessment of Dietary Sodium and Potassium in Canadians Using 24-Hour Urinary Collection

2015· article· en· W762881180 on OpenAlex
Andrew Mente, Gilles R. Dagenais, Andreas Wielgosz, Scott A. Lear, Matthew McQueen, Johannes Zeidler, Lily Fu, Jane DeJesus, Sumathy Rangarajan, Anne-Sophie Bourlaud, A LeBlanc De Bluts, E Corber, Veronica de Jong, Jacob Boomgaardt, A Shane, Ying Jiang, Margaret de Groh, Martin O’Donnell, Salim Yusuf, Koon Teo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Cardiology · 2015
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsPublic Health Agency of CanadaProvidence Health CareSimon Fraser UniversityInstitut Universitaire de Cardiologie et de Pneumologie de QuébecUniversity of OttawaHamilton Health SciencesPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsMedicineExcretionSodiumUrinePotassiumPopulationUrine collection deviceAnimal scienceEpidemiologyDietary SodiumNatriuresisInternal medicineEnvironmental healthBlood pressureEndocrinologyDemographyPhysiologyChemistryBiology

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.

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)0.000
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 score0.051
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.063
GPT teacher head0.319
Teacher spread0.256 · 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