Bibliographic record
Abstract
The classic mechanism of action of steroid hormones involves binding to their respective intracellular receptors, which act as transcription factors in the regulation of gene expression. The ensuing effects, described as the genomic effects of steroids, are relatively slow. Evidence that some steroids, through interaction with certain neurotransmitter receptors, can alter neuronal excitability at the cell surface has led to the description of the rapid membrane effects of steroids. The term “neuroactive steroid” (NAS) has been coined for steroids with these particular properties.1 Diverse mechanisms for rapid steroid effects have now been described, and the nongenomic effects of NASs may involve γ-aminobutyric acid (GABA) receptors, glutamate receptors, nicotinic acetylcholine receptors, sigma receptors, 5-HT3 receptors, or voltage- or non-voltage-gated calcium channels. These various mechanisms are reportedly involved in functions as diverse as sleep, anxiety, seizure activity, aggressive behaviour, response to stress, and neuronal regeneration and protection, as well as in learning and memory.2
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".