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Record W3153328114 · doi:10.7202/1076356ar

L’International Dysphagia Diet Standardisation Initiative : revue des qualités métrologiques

2021· article· fr· W3153328114 on OpenAlex
Claudia Côté, Annie Villeneuve‐Rhéaume, Cynthia Gagnon, Isabelle Germain

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

VenueNutrition, science en évolution · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsMcGill UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanInstitut de Technologie AgroalimentaireUniversité de Sherbrooke
Fundersnot available
KeywordsDysphagiaHumanitiesPolitical scienceLibrary scienceMedicinePhilosophyComputer scienceSurgery

Abstract

fetched live from OpenAlex

L’International Dysphagia Diet Standardisation Initiative (IDDSI) propose un cadre de référence assorti de méthodes d’évaluation pour la catégorisation et la mesure des aliments et breuvages pour les patients dysphagiques afin de faciliter la comparaison d’études scientifiques internationales et améliorer le traitement de la dysphagie des nouveau-nés aux adultes âgés. La documentation des qualités métrologiques de ces outils est essentielle. Il s’agit d’un prérequis à une pratique clinique basée sur les données probantes.

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.433
Teacher spread0.344 · 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