A Study of Food Consumption Patterns in Patients with Gastric Cancer in Mazandaran
Bibliographic record
Abstract
Gastric cancer is one of the most common types of cancer. There are geographical and racial differences in the prevalence of gastric cancer in different societies. The present study aims to investigate the food consumption patterns in patients with gastric cancer in Mazandaran.This case-control study was conducted among 100 patients with gastric cancer and 200 healthy controls. Two questionnaires including demographic information, and food frequency were completed by all participants.The mean frequency of consuming raw onions, fried onions, cucumbers and salted vegetables, red meat (beef and lamb), eggs, burgers, pizza, soy, pasteurized milk, yogurt, ice cream, liquid oil, cream, tea, pumpkin and sunflower seeds, chocolate and dates in the case group was more than control group. Findings of the current research showed that some foods such asvegetables, fish, rice and dairy are extensively found in the dietary patterns in northern of Iran.These are considered as preventive factorsin the incidence of gastric cancer.
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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 | 0.001 | 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) | 0.001 | 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".