Additional file 4 of Sustained exposure to systemic endotoxin triggers chemokine induction in the brain followed by a rapid influx of leukocytes
Bibliographic record
Abstract
Additional files 4: Figure S4. Flow cytometry gating strategy for infiltrating leukocytes. (A) Myeloid cell gating strategy. CD11b+ cells were identified from single, live CD45hi leukocytes in the brain. Macrophages (MØ) were further identified as being F4/80+Ly6C- and (i) were divided into two populations based on MHC class II expression. Neutrophils were F4/80-Ly6Cint and (ii) Ly6G+. Monocytes were F4/80+Ly6Chi and (iii) Ly6G-. (B) Lymphocyte gating strategy. Single, live CD45hi leukocytes were split into NK1.1+TCRβ- NK cells, NK1.1+TCRβ+ NKT cells and NK1.1-TCRβ+ T lymphocytes. NK1.1-TCRβ+ T lymphocytes were then further separated based on the expression of CD4 and CD8. (C) Representative plots showing expression of CD62L and CD44 by CD4+ and CD8+ T cells in the brain.
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 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.918 | 0.211 |
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".