Bibliographic record
Abstract
Galanin is a biologically active neuropeptide, widely distributed in the central and peripheral nervous systems and the endocrine system. The amino acid sequence of galanin is very conserved (almost 90% among species), indicating the importance of the molecule. Galanin has multiple biological effects. In the central nervous system, galanin alters the release of several neurotransmitters. In particular the ability of galanin to inhibit acetylcholine release, along with the observation of hyperinervation of galanin fibres in the human basal forebrain of Alzheimer's disease patients, suggest a possible role for galanin in the cholinergic dysfunction, characteristic of the disease. Moreover, galanin has been suggested to be involved in other neuronal functions, such as learning and memory, epileptic activity, nociception, spinal reflexes and feeding. Galanin has also been shown to increase the levels of growth hormone, prolactin and luteinizing hormone, to inhibit glucose induced insulin release and to affect gastrointestinal motility. The expression of galanin (mRNA and peptide levels) is elevated following estrogen administration, neuronal activation, denervation and/or nerve injury, as well as during development. The spectrum of galanin's activities indicates that galanin is an important messenger for intercellular communication within the nervous system and the neuroendocrine axis. Galanin acts at specific membrane receptors to exert its effects; so far three human and rodent galanin receptor subtypes have been cloned. Galanin agonists have been shown to have therapeutic application in treatment of chronic pain; galanin antagonists have therapeutic potential in treatment of Alzheimer's disease, depression, and feeding disorders.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".