Bibliographic record
Abstract
Background: Viral infections have been implicated in both protection from and initiation of asthma and allergy. Although at first glance contradictory, these effects may both be true when timing, location, intensity, and other coexisting factors are taken into account. In addition, when asthma is established, viral infections, most frequently associated with human rhinoviruses, precede the exacerbations of the disease. Bronchial infection and consequent inducing of local inflammation, as well as systemic immune responses are among the mechanisms involved. From a different perspective, the atopic environment favours viral infection, leading to reduced viral clearance, increased viral replication and amplified post-viral sequelae. Methods/Data base: A review of the literature. Results/Conclusions: It is suggested that the physiological rate of development and response of the human immune system does not match the rate of exposure to various stimuli as they currently appear in modem environments; such incoordination may explain the increase in prevalence of allergic diseases through reduced infectious stimulation, but also the triggering and/or exacerbation of these diseases by the same factor.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".