Bibliographic record
Abstract
Auvelity was approved by the FDA in 2022 for the treatment of Major Depressive Disorder in adults. Auvelity’s relevant mechanisms of action are a combination of NMDA receptor blockade with consequent antagonism of the glutamatergic neurotransmitter pathway, and sigma-1 receptor agonism. Major Depressive Disorder and Alzheimer’s disease share a significant association. Glutamatergic excitotoxicity via NMDA receptors is believed to be a key mechanism underlying neurodegeneration in Alzheimer’s Disease, the most frequent form of dementia in older adults. NMDA antagonists like Memantine appear to inhibit glutamatergic excitotoxicity via blockade of NMDA receptors. As a sigma-1 receptor agonist, Memantine also increases dopaminergic activation. Memantine’s benefit for improving memory, cognition and general functioning in AD patients is generally attributed to the combination of these two mechanisms. Because AD medications like Memantine and Auvelity share the same mechanism of action, it is hypothesized that Auvelity has potential as a medical treatment for reducing the symptoms of Alzheimer’s disease.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.015 |
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".