Effects of water supplemented with Saccharicterpenin and photosynthetic bacteria on egg production, egg quality, serum immunoglobulins, and digestive enzyme activities of ducks
Bibliographic record
Abstract
We investigated the effects of water supplemented with Saccharicterpenin and photosynthetic bacteria (PSB) on egg production, egg quality, serum immunoglobulins, and digestive enzyme activities of Jinyun ducks. A total of 400 healthy Jinyun ducks (all aged 58 wk) were randomly allotted to five treatments, with four replicates per treatment and 20 ducks in each replicate. The animals were fed a standard diet for 15 d and the experimental diet for 55 d. Experimental design is as follows: negative-control group C1 was given no supplementation, and control group 2 was given pool water (PW) with added PSB but not Saccharicterpenin. Test groups T1, T2, and T3 were given the same amount of PSB in the PW and varying levels of Saccharicterpenin in drinking water. Results suggest that PSB combined with Saccharicterpenin had beneficial effects on the average egg weight, feed to egg ratio, laying rate, and amylase activity, but some bad effects on the yolk color score. Additionally, PSB alone can increase the average egg weight.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".