Additional file 1 of Sustained exposure to systemic endotoxin triggers chemokine induction in the brain followed by a rapid influx of leukocytes
Bibliographic record
Abstract
Additional files 1: Figure S1. Daily LPS injections triggered a robust egress of myeloid cells from the bone marrow but a subdued peripheral cytokine response. (A) Experimental model. Mice were injected with LPS or vehicle at days 0, 1, 2, 3, 4, 5 and 6, and sacrificed at 6 hours following initial injection, and at days 2, 5 and 7, 24 hours after their final injection. (B) Change in body weight was monitored throughout the model. (C) Flow cytometry gating strategy of circulating CD11b+Ly6G+Ly6Cint neutrophils and CD11b+Ly6G-Ly6C+ monocytes. (D) Percentage of circulating CD11b+Ly6G+Ly6Cint neutrophils and CD11b+Ly6G-Ly6C+ monocytes as a proportion of single, live, CD45+ cells in the blood. Data show means ± 1SD. n=5/group. Data representative of two independent experiments. (E) Plasma concentrations of IL-1β, TNFα and IL-6 at 6 hours and day 2, 5 and 7 of the LPS model. n=5-8/group. Significance was calculated using two-way ANOVA: *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.921 | 0.235 |
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".