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
Neurons and synapses in the central nervous systems are very dynamic and plastic, and can undergo changes throughout life. Studies of molecular and cellular mechanisms of such changes not only provide important insight into how we learn and store new knowledge in our brains, but also reveal the mechanisms of pathological changes occurring following an injury. Here, we propose that while neuronal mechanisms underlying physiological functions such as learning and memory may share some common signalling molecules with abnormal or injury-related changes in the brain, distinct synaptic mechanisms are involved in pathological pain as compared with that of cognitive learning and memory. Using genetically altered mice and classic physiological approaches, we showed that N-methyl-D-aspartate (NMDA) receptor-dependent, calcium-calmodulin-activated adenylyl cyclases (AC1 and AC8) in the anterior cingulate cortex (ACC) play important roles in the induction and expression of persistent inflammatory and neuropathic pain. In contrast, acute pain was not significantly affected. Calcium-calmodulin-dependent protein kinase IV, which is widely expressed in central areas related to pain and memory, primarily contributes to injury-related fearful memory and emotional responses. Our studies suggest distinct signalling pathways are responsible for physiological responses to the injury, including behavioural, emotional and memory.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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