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The Role of Folate on Colorectal Cancer in the Arabian Gulf Cooperation Council Countries: An Overview

2013· article· en· W2140280329 on OpenAlexvenueno aff
Mostafa I. Waly, Yahya Al‐Farsi

Bibliographic record

VenueCanadian Journal of Clinical Nutrition · 2013
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsFlourishingUrbanizationPer capitaLife styleConsumption (sociology)Colorectal cancerEconomic growthDevelopment economicsMedicineCancerEnvironmental healthEconomicsPsychologySociologyPopulationSocial scienceInternal medicine

Abstract

fetched live from OpenAlex

Driven by the boom of wealth brought by oil discovery and production, the high rate of urbanization and a steady increase in the per capita income, during the past years, has improved the socio-economic status of the people in the Arabian Gulf Cooperation Countries (GCC). This radical economic change has been accompanied by drastic changes in their lifestyle and food consumption patterns. During the past years, the regular consumption of traditional foods is being replaced with more Western-style and ready-made foods. In addition to adopting a sedentary life style in daily life and other related activities. According to National Health Survies in the GCC countries, high daily caloric intake, refined carbohydrates and protein were associated with increased risk of noncommunicable diseases including colorectal cancer (CRC). The rate of CRC among GCC countries is in the rise; however, there is dearth of research exploring it. In particular, there is lack of research about role of folate on occurrence of CRC despite the recent flourishing scientific research papers from other parts of the world.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.084
GPT teacher head0.356
Teacher spread0.272 · 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 designOther design
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
Published2013
Admission routes1
Has abstractyes

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