Small Nucleolar RNAs and the Brain: Growing Evidence Supporting Their Role in Psychiatric Disorders
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
Noncoding RNAs comprise most of the transcriptome and represent an emerging area of research. Among them, small nucleolar RNAs (snoRNAs) have emerged as a promising target because they have been associated with the development and evolution of several diseases, including psychiatric disorders. snoRNAs are expressed in the brain, with some showing brain-specific expression that indicates specific roles in brain development, function, and dysfunction. However, the role of snoRNAs in conditions that affect the brain needs further investigation to be better understood. This scoping review summarizes existing literature on studies that have investigated snoRNAs in psychiatry and offers insight into potential pathophysiological mechanisms to be further investigated in future research.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.002 |
| 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