Evaluating the effects of crab meal, Carophyll Red<sup>®</sup>, and Carophyll Yellow<sup>®</sup> in laying hen diets on egg yolk pigmentation and production performance
Bibliographic record
Abstract
A total of 480 Babcock White Leghorn hens (65 wk of age) were randomly assigned to one of five diets [wheat-based control (C), 10 g t–1 Carophyll Red® (CR), 20 g t–1 Carophyll Yellow® (CY), 10 g t–1 CR + 20 g t–1 CY (CR + CY), 80 kg t–1 crab meal (CM)] for 60 d. There was no effect of treatment on egg production. There was an increase in red pigmentation (a* score) on day 45 among treatments supplemented with CR, CR + CY and CM when compared with C and CY. The laying hen was capable of depositing the natural carotenoid supplied by the CM into the egg yolk. Key words: Laying hen, crab meal, carotenoids, astaxanthin, yolk pigmentation
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 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 | 0.000 |
| 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) | 0.001 | 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".