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Record W4400150155 · doi:10.1016/j.cdnut.2024.102223

Adherence to Mediterranean Diet Mediates the Relationship Between Cognition, Sleep, and Daily Autonomy in Mild Cognitive Impairment

2024· article· en· W4400150155 on OpenAlexaboutno aff
Simone Varrasi, Vittoria Torre, Giuseppe Alessio Platania, Claudia Savia Guerrera, Francesco Maria Boccaccio, Concetta Pirrone, Fabio Galvano, Sabrina Castellano

Bibliographic record

VenueCurrent Developments in Nutrition · 2024
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsnot available
Fundersnot available
KeywordsMediterranean dietCognitionCognitive impairmentAutonomySleep (system call)GerontologyPsychologyMedicineInternal medicinePsychiatryPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Objectives: Adherence to Mediterranean Diet seems to be involved in older adults’ health. However, its specific role towards cognitive deficits, daily autonomy, and sleep quality still needs to be clarified. Therefore, this pilot study aimed at: 1) exploring the relationships between adherence to Mediterranean Diet, cognitive decline, daily autonomy, and sleep quality in older adults with Mild Cognitive Impairment (MCI), and 2) computing models to explore the interplay between these variables.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.094
GPT teacher head0.358
Teacher spread0.264 · 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 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
Published2024
Admission routes1
Has abstractyes

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