Additional file 1 of Over supplementation with vitamin B12 alters microbe-host interactions in the gut leading to accelerated Citrobacter rodentium colonization and pathogenesis in mice
Bibliographic record
Abstract
Additional file 1: Supplementary Figures S1. DESeq2 differential expression analysis of the microbial community between naïve C3H/HeOuJ mice from the SURV and EPC experiments. Figure S2. Cecal SCFA profiles of naïve C3H/HeOuJ mice from the SURV experiment. Figure S3. DESeq2 differential expression analyses of the active microbial community as determine by cecal metatranscriptomics of C3H/HeOuJ mice. Figure S4. Inflammation biomarkers in naïve C3H/HeOuJ mice from the EPC experiment (n = 8). Figure S5. Inflammation biomarkers in C. rodentium-challenged C3H/HeOuJ from the EPC experiment (n = 8). Figure S6. Spearman’s correlation of the significantly altered immune profiles of colon tissues and microbiota in C3H/HeOuJ mice. Supplementary Tables:Table S1. Real-time qRT-PCR primer list. Table S2. Summary of beta-diversity analyses of microbial communities.
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 | 0.002 | 0.014 |
| 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 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.849 | 0.143 |
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".