Quantitative Assessment of α-synuclein Inclusions in Multiple System Atrophy v1
Bibliographic record
Abstract
Morphological differences in the α-synuclein inclusions of Multiple System Atrophy (MSA) brains were observed, specifically in the putamen and the cerebellar white matter. This protocol was established for the purpose of quantifying features of glial cytoplasmic inclusions (GCIs). These features include: the size of GCIs, density of all α-synuclein pathology (i.e., neuronal, neuritic, and glial), density of GCIs only, and the number of GCIs. The 5G4 antibody was used in the study as it revealed a wider spectrum of pathology but the protocol can also be used to explore quantitative features of GCIs using different anti-α-synuclein antibodies. We emphasize the importance of utilizing open-access tools and aim to promote accessibility and cost-effective image analysis for quantifying features of GCIs in MSA using immuno-stained whole slide images.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".