Bibliographic record
Abstract
A revolution in our understanding of brain development, adult brain function, senescence, and disease has emerged from the recognition of structural and functional plasticity within the mammalian brain (1). For example, the role of brain-derived neurotrophic factor (BDNF) and other hormonal factors that mediate neurogenesis, as well as synaptic and dendritic plasticity in psychiatric disorders (2), has revealed unforeseen neuronal regulatory mechanisms. These build on a growing dynamic conception of brain architecture that complements the understanding of synaptic transmission. This, we are also discovering, is a plastic event altered by both structural and functional remodeling of the synapse. However, little is known about the role of mitochondria in regulating synaptic transmission, and less yet about their implications for cognitive function and memory decline in the aging brain (3). The study by Hara et al. (4) in PNAS synergizes with recent discoveries, revealing a key role of mitochondria regulating synaptic transmission, brain function, and cognition in aging.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.021 | 0.019 |
| Insufficient payload (model declined to judge) | 0.010 | 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".