Some aspects of the host response to methacrylic acid containing beads in a mouse air pouch
Bibliographic record
Abstract
Exudate analysis indicated that both hydroxamated methacrylic acid-based (HX-MAA) and methacrylic acid-based (MAA) beads without hydroxamation, implanted in an air pouch with gelatin discs, elicited similar biological responses, with both resulting in high cell counts and chemokine (MCP3) levels, relative to control, poly(methyl methacrylate) (PMMA) beads. HX-MAA beads had been used elsewhere to restore homeostatic levels of extracellular matrix degrading enzymes, matrix metalloproteases, whereas the MAA beads (without hydroxamation) promoted angiogenesis in wound healing models. Furthermore, both beads appeared to activate exudate macrophages in the classical manner (high IL12/IL10 ratio) at day 4. Exudate macrophages, which were isolated by a magnetic bead protocol and analyzed by RT-PCR, showed a mixed response: elevated levels of an alternative marker (mannose receptor C type lectin) and a classical marker (IL6) were seen, in macrophages from the HX-MAA and MAA group compared to the PMMA group at day 4. A partial shift to an alternatively activated phenotype was seen by day 10.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".