Relación entre la disponibilidad alimentaria y la mortalidad por cáncer colorrectal en América
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.
Bibliographic record
Abstract
With the aim of describing the association between food availability and the mortality rate due to colorectal cancer in the countries of the Americas in 2010, data provided by the International Agency for Research on Cancer and the Food and Agriculture Federation were analyzed in an ecological study. Great variability was observed except in caloric supply. Food availability was abundant for calories, total fats, animal fat, red meat and alcoholic beverages. Availability was critically low for fruits and vegetables in 80% of the countries. The countries with the highest colorectal cancer mortality rates were Uruguay, Barbados, Argentina and Cuba, while those with the lowest rates were Guatemala, Canada, Mexico and Honduras. The strongest relationships were found between colorectal cancer mortality rate and the availability of animal fat, red meat, alcoholic beverages and calories. No protective effect of availability of fruits and vegetables on the colorectal cancer mortality rate was found. It would be advisable to improve the records of tumor incidence and direct ways of evaluating diet to be analyzed in future studies instead of the data used here.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it