Bibliographic record
Abstract
Substances with hormonal activity in food can be of natural origin like hormones in milk and milk product and phytoestrogens, or residues of hormones used as growth promoters or drugs for farm animals. It is estimated that 60-80% of the total intake of hormones with food is from milk and milk products. During pregnancy levels of estrogens and progesterone are significantly increasing and becoming the highest before parturition. Results of the number of studies indicate that dietary intake of estrogens from milk and milk product can be the risk factor for hormone-dependent carcinomas, or same reproductive disorders. Phytoestrogens could have some benefitial effects on hormonal balance especially for women in menopause but additional investigations are needed for their safe use and appropriate dosing in food supplements. In some countries (USA, Canada, Australia) controlled use of hormones as growth promoters is legal, while in EU and Serbia the use of hormones in food production is strictly prohibited. To prevent the illegal use of hormones it is important to establish the national program for monitoring of residues of hormones in food.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".