Bibliographic record
Abstract
Schizophrenia remains a therapeutic challenge. For much of its long history, the physiological basis of its symptoms and clinical presentation remained elusive. However, in recent decades, consistent anatomical and metabolic changes have been documented that can also serve as therapeutic targets. An insult to the developing nervous system in the prenatal or neonatal period appears to set the schizophrenic syndrome in motion by preventing the development of the normal circuit balance between inhibitory and excitatory neurons. In time, a reduction in the volume of frontal and temporal grey matter and a decrease in the density of dendritic spines on pyramidal neurons becomes apparent. These anatomical findings are accompanied by a reduced capacity to synthesize GABA, an increased capacity to synthesize and release dopamine, and an increased level of blood cortisol. Treatment with sodium oxybate (SO) (gammahydroxybutyrate) may make it possible to reverse these pathological features of the schizophrenic syndrome, given SO's potential to increase neuronal levels of GABA, inhibit dopamine release and reduce blood cortisol levels. SO can also serve as a source of energy to promote the growth of the dendritic arbor on excitatory pyramidal neurons and as an antioxidant to enhance the activity of GABAergic inhibitory neurons. In this way, SO may restore the balance between the excitatory pyramidal neurons and the inhibitory GABAergic neurons in schizophrenia. In a short clinical trial, the use of SO to improve the sleep of patients with chronic schizophrenia led to a significant clinical improvement.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".