Food-induced anaphylaxis: Clinical highlights and knowledge gaps
Bibliographic record
Abstract
An infant was born at full term after a normal first pregnancy with no family history of allergic disease. At six months of age, he developed atopic dermatitis. He was diagnosed to be allergic to peanut and egg proteins, with a strongly positive skin prick test reactivity of >10 mm and >12 mm respectively, although he never had a known exposure to either food. He was prescribed an epinephrine autoinjector, and his parents were advised to avoid products containing peanut or egg. At three years of age, he was brought to the emergency department with generalized hives, swelling of his lips and eyelids, and wheezing immediately after he had eaten candy that had a pre-cautionary label of ‘may contain peanuts’. He was treated with intramuscular epinephrine, oral antihistamine, oral steroids and an inhaled short-acting β2-agonist with good response. The child was discharged after 4 h of observation. The treating physician verified that the family had an epinephrine autoinjector and were aware of the importance of allergen avoidance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".