The effects of amyloid beta aggregation on neuronal transcription
Bibliographic record
Abstract
Alzheimer's disease (AD) is a debilitating condition that impairs cognition and episodic memory. AD is well known for its behavioural phenotype however, knowing its cellular pathology, which is primarily based on the presence of amyloid beta (Aβ) in various aggregation states, is crucial for the development of research efforts against the disorder. The most notable of these aggregation states are the oligomeric and fibril forms of Aβ. This paper aims to describe the transcriptomic profile of neuronal cells exposed to these aggregation states in order to better understand the disorder and identify potential therapeutic genetic targets. The primary findings of this paper illustrate the significant effects of Aβ on genes associated with metabolism as well as the dramatically increased effects of oligomeric Aβ relative to fibril Aβ with respect to the overall changes in gene expression. The presented results also support the further examination of the role of GTPases in the deleterious effects of Aβ.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".