Additional file 1 of Gut microbiome is linked to functions of peripheral immune cells in transition cows during excessive lipolysis
Bibliographic record
Abstract
Additional file 1: Table S1. Comparison of plasma physiological parameters, inflammation, oxidative stress and phenotypic characteristics between cows with and without excessive lipolysis at -7d before calving. Table S2. The marker gene list of the 26 immune cell clusters. Table S3. The specific markers of major cell types. Table S4. Identified high-quality ASVs in LNF and HNF cows. Table S5. The significantly defferent microbes between LNF and HNF cows by wilcox.test. Table S6. The results of Netshift analysis from significant microbial species between LNF and HNF cows. Table S7. The enriched KEGG pathways (level3) in the gut of LNF cows and HNF cows. Table S8. Correlations between significant different species and fecal and plasma bile aicds. Table S9. The differential down-regulated genes between LNFC and HNFC in CD14+MON and FCGR3A+MON. Table S10. Bile acid regulated gene list.
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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.423 | 0.066 |
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".