Modification of American Institute of Nutrition Rat Diet in Mammary Cancer Research
Bibliographic record
Abstract
This research was performed to test the effect of date palm fruit (Phoenix datylifera L.) of (Al-Barhi) type at the two maturity stages “Rutab” and “Tamr” on the 7,12-dimethylbenz(a)anthracene (DMBA)-induced mammary cancer using the rat model. The experimental diets included soybean group as a control group since soybean is known to be protective against mammary cancer. The diets, except for the soybean diet, were a modification of the American Institute of Nutrition-1993 (AIN-93) diet that is free of any soybean products. Soybean oil was replaced by a mixture of canola and sunflower oils in amounts that give ratios of w-6:w-3 fatty acids and PUFA:SFA similar to those of the AIN-93 diet which are based on soybean oil namely 7.5:1.0 and 4.0:1.0 respectively. It is concluded that in DMBA-induced mammary cancer experiments, a mixture of canola and sunflower oils in a ratio of 0.6:1.0 (v/v) canola oil:sunflower oil would replace soybean oil.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.033 | 0.011 |
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".