Additional file 3 of Post-stroke butyrate treatment shows sex-dependent microglial responses but does not improve outcomes in a mouse model of endothelin-1 sensory motor stroke
Bibliographic record
Abstract
Additional file 3. Supplementary Figure 1: Butyrate treatment eliminates sex differences in microglial morphology during chronic stroke. The number of primary branches was counted in acute (D4) (A) and chronic (D20) (B) stroke. The maximum number of intersections was measured in acute (C) and chronic (D) stroke. The radius at which the maximum number of intersections occurs was determined in acute (E) and chronic (F) stroke. All measurements were performed on both male and female animals, in addition to both butyrate-treated (blue and purple) and vehicle-treated (orange and green) animals. Each dot represents a cell. Each colour represents an animal. The horizontal dashed line represents the mean of the data. A 2-way ANOVA with uncorrected Fisher’s LSD was performed using the average cell morphology metrics per animal; p values (< 0.05) are represented on graphs. ND4-male-NaCl = 3 animals, 89 cells; ND4-male-NaB = 5 animals, 136 cells; ND4-female-NaCl = 4 animals, 111 cells; ND4-female-NaB = 6 animals, 186 cells; ND20-male-NaCl = 5 animals, 131 cells, ND20-male-NaB = 4 animals, 87 cells; ND20-female-NaCl = 5 animals, 113 cells; ND20-female-NaB = 5 animals, 117 cells.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.858 | 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".