Bibliographic record
Abstract
Major depressive disorder (MDD) is a disabling mental disorder characterized by negative mood and suicidality.The NMDA antagonist ketamine has been found to reduce depressive symptoms and suicidal thoughts in patients unresponsive to first-line antidepressants, but ketamine's mechanism of action remains unclear.More women are diagnosed with MDD than men and present with greater suicidal ideation, but it is unclear if there are sex-dependent responses to ketamine.It was recently determined that activating mRNA translation via phosphorylation of the eukaryotic initiation factor 4E binding proteins (4E-BPs) is a crucial mechanism of ketamine's antidepressant effect in non-stressed male mice.The aim is to understand if stressed females also engage this mechanism following ketamine treatment.After investigating whether 4E-BP1 and 4E-BP2 are relevant to ketamine's antidepressant mechanisms of action in female mice, the present study's findings are inconclusive, as ketamine had no effect on several chronic variable stress-induced behaviors in tested mice.I would like to express my great appreciation to my thesis supervisor Dr. Argel Aguilar-Valles for his open, patient and honest mentorship.I also have nothing but the sincerest gratitude to my thesis examination committee for sharing invaluable comments and suggestions during my prospectus defense.In that respect, I want to
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".