Food-Induced Anaphylaxis to a Known Food Allergen in Children Often Occurs Despite Adult Supervision
Bibliographic record
Abstract
S De Schryver, A Clarke, S La Vieille. Pediatr Allergy Immunol. 2017;28(7):715–717 To survey a group of children who presented with food-induced anaphylaxis to a known food allergen. The authors sought to estimate the percentage of anaphylaxis cases attributed to food labeling issues, to assess the presence or lack of adult supervision, and to identify risk factors associated with unsupervised reactions. The study included a subgroup of children from the Cross-Canada Anaphylaxis Registry, recruited from emergency departments of 3 hospitals in Ontario and Quebec. Within 18 months of recruitment, participants were contacted to complete a telephone survey. The median age of respondents was 6.1 years, and 60.9% were boys. Emergency department physicians who attended the anaphylactic reactions (involvement of 2 …
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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 | 0.003 |
| 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 | 0.000 |
| 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".