Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 it