Review of: "Sputum Interleukin-32 in childhood asthma: correlation with IL-1β"
Bibliographic record
Abstract
Potential competing interests: No potential competing interests to declare.In this work by Louhaichi et al, the authors describe the association between the proinflammatory cytokines IL-32 and IL-1b in childhood asthma.Both inflammatory cytokines were measured in induced sputum from a cohort of children with either mild, moderate, or severe conditions.Data presented in this report showed that total IL-32 protein (and RNA) are significantly higher in children with severe conditions and that IL-32 significantly correlate with IL-1b.The study is interesting given that earlier investigations on IL-32 and asthma were mostly carried out on cohorts of older adults.The association between IL-32 and IL-1b is also of high interest as increasing evidence point to the potential role of IL-1b in multiple allergic diseases including allergic rhinitis, asthma, and atopy, which turns this cytokine into a potential therapeutic target.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.010 |
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".