Relación entre la disponibilidad alimentaria y la mortalidad por cáncer colorrectal en América
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".