Does peanut butter transfer from hands to sports equipment?
Bibliographic record
Abstract
Peanut is a robust allergen. Many parents are concerned about shared sports equipment for children with peanut allergy. Basketball is a common sport for many children, and involves frequent contact between the ball and hands. We assessed the potential for peanut butter to transfer from peanut contaminated hands to basketballs, and the potential to transfer back to hands. Baseline samples were taken from a previously used basketball and the hands of an avid basketball player. Five mL of peanut butter was applied to her hands and wiped with a commercial paper towel. The basket ball was dribbled for 5 minutes. Her hands were subsequently washed with regular soap and water. She then played with the potentially contaminated ball for another five minutes. Both rubber and leather basketballs were used. Samples from the ball and hands were taken at each step. The balls were cleaned with commercial bleach cleaner and resampled. Samples were analysed using a monoclonal-based Ara h 1 ELISA. The range of detection was 2-2000 ng/mL. After application of peanut butter on hands, there was detectable peanut allergen. No detectable peanut was found on the surface of either basketball after 5 minutes of use. No detectable peanut was found on hands after 5 minutes of play with the potentially contaminated basketball. There is no significant transfer of peanut allergen from contaminated hands to basketballs. A peanut allergic individual is not at significant risk of an allergic reaction from playing basketball.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".