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Record W4309924756 · doi:10.54097/hset.v19i.2696

The Role of High Fat Diet in Metabolic Diseases: An Inspection of Canadian Population

2022· article· en· W4309924756 on OpenAlexaffabout
Jiayi Chen

Bibliographic record

VenueHighlights in Science Engineering and Technology · 2022
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsObesityMetabolic syndromeEnvironmental healthPopulationDiseaseMedicineDiabetes mellitusBiotechnologyFood scienceBiologyEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

Metabolic diseases including cardiovascular disease, obesity, and diabetes account for about 20% of the population in Canada. Diets containing high amount of fats may be one of the most crucial causes of metabolic diseases. Canadian diets composing of large portion of ultra-processed foods containing saturated fatty acids constitutes for potential risks for health conditions regarding obesity and other diseases. Of the entire Canadian population, the aboriginal community and low-income households consume higher amount of ultra-processed foods and are more prone to metabolic diseases. Traditional diets of aboriginal people may be a healthier choice though the amount of fat contained in both diets are equal. As of non-aboriginal Canadians, alternative foods such as high-fat dairy product is not related with the progression of metabolic diseases. Thus, a switch in diet, proper education, and adjustment in public health policies regarding ultra-processed foods and high fat foods may be crucial in reducing the prevalence of metabolic diseases.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.005
GPT teacher head0.209
Teacher spread0.205 · 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
Published2022
Admission routes2
Has abstractyes

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