Additional file 1 of Terminal complement pathway activation drives synaptic loss in Alzheimer’s disease models
Bibliographic record
Abstract
Additional file 1: Fig. S1. Generation and characterisation of novel ELISAs to measure C3 fragments (C3b/iC3b) and TCC (a) C3b/iC3b ELISA showing clear differentiation between non-activated vs activated (with zymosan) mouse serum. (b) WB of mouse plasma under reducing and non-reducing conditions to demonstrate that the rabbit anti-human polyclonal C3 antibody used in the assay recognises mouse C3. (c) TCC ELISA showing clear differentiation between non-activated versus activated (with zymosan) mouse serum. (d) Dilution linearity for C3b/iC3b and TCC ELISAs. (e) Addition of excess 73D1 mAb had no effect on TCC standard curves. (f) CD59 levels in TBH at 9 months of age showed no significant difference between genotypes (n=5-6).
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 | 0.017 |
| 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 | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.911 | 0.240 |
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".