Dichotic Listening Deficit Associated With Solvent Exposure
Bibliographic record
Abstract
HYPOTHESIS: A significant left ear deficit can be observed in solvent-exposed individuals using the dichotic digit test. BACKGROUND: Solvents are ubiquitous in global industrial processes. Due to their lipophilic nature, solvents can adversely affect large white matter tracks such as the corpus callosum. Previous investigations reveal that long-term workplace exposure to solvents is also deleterious to various auditory processes. Investigations in exposed populations suggest a decreased performance for dichotic listening. METHODS: In this present study, we examined the lateralization of a dichotic digit test score for 49 solvent-exposed individuals along with 49 age- and sex-matched controls. We evaluated group differences between test scores and the right ear advantage using a laterality index (LI). RESULTS: Individual ear results suggest that long-term workplace solvent exposure is associated with a significantly lower dichotic listening score for the left ear. A binaural compound score analysis using a laterality index supports this left-ear deficit. CONCLUSION: These results provide an insight on the effects of solvent exposure on dichotic listening abilities. Further research should investigate the importance of using dichotic listening tasks to screen for solvent-induced auditory dysfunction in exposed individuals.
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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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".