The Development and Validation of an Assay for the Quantification of the <i>P. chrysogenum</i> allergen Pch52
Bibliographic record
Abstract
Penicillium chrysogenum clade 4, is a common mold on damp building materials. A capture ELISA assay for the major allergen from P. chrysogenum Pch52 has been developed and tested in house dust samples and potential cross-reactivity examined. Minimal cross-reactivity with other relevant indoor fungi was observed for the assay following thorough purification of the monoclonal and polyclonal antibodies. The limit of quantification for ELISA analysis of Pch52 in sieved house dust is comparable to other assays of other fungi. The LOQ for Pch52 was 0.31 ng/mL in solution or 110 ng/g dust. The LOQ for Asp f1 and Alt a1 were 2.2 ng/g and 17 ng/g, respectively. These results indicate this assay is suitable for the quantification of Pch52 in sieved house dust.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".