Unirhinal Norms for the University of Pennsylvania Smell Identification Test
Bibliographic record
Abstract
Adult normative data are presented for unirhinal administration of the University of Pennsylvania Smell Identification Test (UPSIT). Two-hundred and seventy healthy adults, aged 15-64, were administered half of the UPSIT (20 items) to each nostril. The main findings were: (1) unirhinal and birhinal performance are not equivalent necessitating the use of unirhinal norms, rather than prorated birhinal norms, (2) unirhinal performance does not differ according to nostril of presentation, (3) unirhinal performance does not differ according to sex, (4) within the age ranges studied, age accounted for only a minor proportion of the variability, and (5) being a current smoker and having lower levels of formal education contributed to reduced unirhinal UPSIT scores. Correction factors are suggested for the education and smoking variables. Unirhinal evaluation may assist in further delineating the structural integrity of specific ipsilateral brain regions and potentially aid in differential diagnosis for a number of disorders.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".