A blood metabolomics study of metabolic variations in Inner Mongolia white cashmere goats under shortened and natural photoperiod conditions
Bibliographic record
Abstract
This study investigated metabolic variations by using gas chromatography – mass spectrometry (GC–MS)-based metabolomics in the blood of Inner Mongolia white cashmere goats under shortened and natural photoperiod conditions. Twenty-four female (non-pregnant) Inner Mongolia white cashmere goats aged 1–1.5 yr with similar live weights (mean, 20.36 ± 2.63 kg) were randomly allocated into two groups: a natural daily photoperiod group (NDPP group: 10–16 h light, n = 12) and a short daily photoperiod group (SDPP group: 7 h light:17 h dark, n = 12). In this study, we found that a SDPP promoted the blood metabolic perturbations based on the GC–MS-based metabolomics investigation, and nine metabolites were related to a SDPP. Compared with the NDPP group, the contents of serine, oxaloacetic acid, xylose, l-3,4-dihydroxyphenylalanine, and xanthosine significantly were up-regulated, whereas the contents of carnitine, 1,3-diaminopropane, indole-3-acetic acid, and l-kynurenine were significantly down-regulated in the SDPP group. The different metabolites could contribute to the regulation mechanisms of promoting cashmere growth of goats in the SDPP group.
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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) | 0.000 | 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 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".