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
Many neurodegenerative conditions have oxidative stress burdens where levels of reactive oxygen species (ROS) exceed the antioxidant capacity of the neuron. ROS can induce wide-ranging damage in a cell and this is prevented by the activation of antioxidant responses including autophagy. Jun-kinase (JNK) is stimulated by ROS and mediates antioxidant responses via the activation of the transcriptional activators Fos and Jun (AP-1). In recently published work we examined Drosophila mutants with overgrown larval neuromuscular synapses, mutants that also show all the hallmarks of lysosomal storage disease (LSD). We find that we can reverse this synaptic overgrowth by reducing the oxidative stress burden, and that synaptic overgrowth is mediated by autophagy and JNK-AP-1 activity. We also examined animals defective for protection from oxidative stress and found that they too have synapse overgrowth generated by JNK-AP-1 activity. Treatment of larvae with a known ROS-generating toxin, paraquat, yielded similar synaptic responses. The observations that oxidative stress responses, potentially acting through autophagy, can generate synaptic growth suggest that ROS may be a potent regulator of synapse size and function. These findings have intriguing implications for aging neurons, neurodegenerative conditions and the interpretation of metabolic demand during learning 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) | 0.001 | 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