Additional file 7 of Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer’s disease and dementia with Lewy bodies
Bibliographic record
Abstract
Additional file 7: Fig. 7. Validation of pSyn stainings with three different antibodies on FFPE samples of a neuropathologically confirmed DLB case. 3 µm thick paraffin block sections from the amygdala and 80–100 µm thick sections from fixed hippocampus were obtained from the same 91-year-old male DLB patient (case 20) and were stained against pSyn using three different antibodies, namely 11A5, 81A and EP1536Y, that all three recognize the P-Ser-129 epitope. (a) Sections from paraffin blocks were stained against pSyn (11A4, 81A and EP1536Y; brown) based on the DAB/HRP substrate system. The sections were counterstained with hematoxylin. The lower rows represent a zoom of the indicated region in the upper row. (b) Thick sections from fixed samples were stained by immunofluorescence against pSyn (11A4, 81A and EP1536Y; green), neurofilaments (NF-H, magenta) and all nuclei (DRAQ7TM, blue). Scale bars in (a) upper row = 500 µm and lower row = 50 µm; (b) upper row = 100 µm and lower row = 10 µm
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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 | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 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 | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.868 | 0.134 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".