Detection of mold damaged buildings by airborne mold spores: evaluation of the method
Bibliographic record
Abstract
In order to validate microbial methods for the detection of mold infestations in indoor areas in a first step thesampling of airborne fungal spores with an impaction method was checked. When the group 'moldy apartments' was compared with the group 'non-moldy apartments', only the genera Aspergillus and Penicillium were in significantly higher concentrations in the infested rooms (nutrient: malt extract agar). As these two genera appeared complementarily in moldy homes as a rule, a sum score was calculated by the logistic regression model. With this sum score cutoff50 values were calculated: 110 cfu/m³ for airborne fungal spores (S A + P) without correction for the outdoor situation and 80 cfu/m³ (S A + P) with correction for the outdoor air concentration. With these cutoff50 values a very good classification (high sensitivity and high specificity) concerning moldy and non-moldy apartments was achieved.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".