Olfactory heterogeneity in <i>LRRK2</i> related Parkinsonism
Bibliographic record
Abstract
LRRK2 mutations can cause familial and sporadic Parkinson's disease (PD) with Lewy-body pathology at post-mortem. Studies of olfaction in LRRK2 are sparse and incongruent. We applied a previously validated translation of the 16 item smell identification test from Sniffin' Sticks (SS-16) to 14 parkinsonian carriers of heterozygous G2019S LRRK2 mutation and compared with 106 PD patients and 118 healthy controls. The mean SS-16 score in LRRK2 was higher than in PD (p < 0.001, 95% CI for β = -4.7 to -1.7) and lower than in controls (p = 0.007, 95% CI for β = +0.6 to +3.6). In the LRRK2 group, subjects with low scores had significantly more dyskinesia. They also had younger age of onset, longer disease duration, and reported less frequently a family history of PD, but none of these other differences reached significance. Odor identification is diminished in LRRK2 parkinsonism but not to the same extent as in idiopathic PD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".