Bibliographic record
Abstract
Abstract In multicellular organisms, cell signaling through the nervous, immune, and endocrine systems is essential for coordinating metabolic functions among all cells. Signals range from nutrient and metabolite levels in extracellular fluids to specialized systems including chemical messengers, storage and transportation mechanisms, and receptors. Specialized endocrine cells produce chemical messengers (hormones) that interact with receptors in local and distant target cells. There are intimate links between the endocrine and nervous systems such as the hypothalamic–pituitary gland complex in which specialized neurons produce hormones. Depending on the hormone, target cells may be confined to a specific organ or may be more widespread. By binding to receptors and influencing intracellular signaling systems, hormones control many processes at the molecular level during gestation and postnatal life. Major endocrine glands include the pituitary gland, thyroid gland, parathyroid glands, pancreatic islets, adrenal glands, testes, and ovaries. When activated by a hormone, receptors on or in target cells trigger a cascade of intracellular reactions. An agonist is a hormone or chemical that binds to a receptor and induces specific biochemical effects; antagonists compete for binding to a receptor but do not induce the biochemical effects associated with the receptor.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.138 | 0.087 |
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".