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
Selenium in vegetables, milk, and meat is a highly bioavailable source for humans; further, foods that are intentionally Se enriched can significantly enhance the consumption of Se by humans where Se intake would be otherwise suboptimal. Selenium concentration in milk can be easily manipulated by altering Se supply to dairy cows. Transfer in milk of Se from yeast is more efficient than from inorganic sources, such as sodium selenite/selenate. There is a U-shaped risk response to Se intake, wherein supra-nutritional intakes (i.e., intakes greater than those recommended to meet metabolic requirements) can in some instances increase the risk of disease in individuals with adequate Se status. A better understanding of the interacting factors that affect bioavailability and metabolism, including the effects of Se form, con-current nutritional factors, and physiological state, will be important in establishing more refined recommendations for Se intakes.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it