Bibliographic record
Abstract
Nesfatin-1 is an eighty two amino acid, naturally occurring multifunctional protein encoded in the precursor nucleobindin-2 (NUCB2). A comparison of sequences indicates that NUCB2 is present in a number of animals, from hydra to humans. The 30 amino acid mid-segment of nesfatin-1 is considered to be the bioactive core of the protein, and this region displays the highest identity among nesfatin-1 sequences reported thus far. Similar to the sequence relationships observed, the tissue-specific expression and biological actions of nesfatin-1 also appear to be highly conserved across species. For example, brain is a major tissue abundantly expressing nesfatin- 1 in several species. It has been shown that various key regions of the rat, mouse and goldfish brain, which are involved in the regulation of feeding and metabolism express nesfatin-1. Exogenous administration of nesfatin-1 results in a decrease in the food intake of rats, mice and goldfish. In addition, nesfatin-1 has been shown to regulate a number of other physiological processes including hormone secretion from the pancreatic islets and pituitary gland, stress and behavior. While nesfatin-1 research still remains an emerging area in physiology, the literature available thus far clearly shows that nesfatin-1 is an important regulator of homeostasis in animals.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".