Glutamatergic Neurotransmission and Toxicity: Domoic Acid and Kainic Acid (Glutamic Acid Analogs)
Bibliographic record
Abstract
Glutamate is one of the most important compounds within the body, well-known for its role as an excitatory neurotransmitter. Given the importance of glutamate within not only the central nervous system but also various other biochemical processes, the study of glutamatergic neurotransmission has garnered well-deserved attention throughout the scientific community. Most notably, the use of natural analogs of glutamate, such as domoic acid and kainic acid, has significantly improved our understanding of the mechanism of glutamate function. Our increased knowledge of glutamate has subsequently allowed for significant advances in understanding the etiology of various diseases, which is a necessary step in the development of more effective treatments. With the seemingly endless functions of glutamate, the study of glutamate analogs will continue to advance our knowledge of glutamatergic neurotransmission and its role in numerous adverse health conditions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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".