Bibliographic record
Abstract
The striatum -- the largest integrative component of the basal ganglia -- harbors a population of neurons that express the enzyme tyrosine hydroxylase (TH), a faithful marker of dopaminergic neurons. The dopaminergic nature of these neurons is further supported by the fact that they express the dopamine (DA) transporter (DAT) and the nuclear orphan receptor Nurr1, a transcription factor essential for the expression of the DA phenotype by midbrain neurons. The vast majority of these neurons are morphologically similar to the medium-sized aspiny striatal interneurons and they all express the enzyme GAD(65). The striatal TH-positive neurons increase markedly in number in animal models of Parkinson's disease (PD), where striatal DA concentrations are low, but this increase is abolished by L-dopa treatment. Hence, local DA concentrations appear to regulate the numerical density of this ectopic neuronal population, a phenomenon that is more likely the result of a shift in the phenotype of preexistent striatal interneurons rather than the recruitment of newborn neurons that will develop a DA phenotype. Altogether, these findings suggest that striatal TH-positive neurons act as a local source of DA and, as such, are part of a compensatory mechanism that could be artificially enhanced to alleviate or delay PD symptoms.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".