Structural Characterization Of Secondary Metabolites Produced By Fungi Obtained From Damp Canadian Buildings
Bibliographic record
Abstract
A comprehensive investigation of the secondary metabolites produced by Chaetomium globosum, Wallemia sebi, Penicillium corylophilum and four Trichoderma species obtained from Canadian buildings is presented. Atopic and non-atopic individuals occupying damp, moldy buildings are at increased risk of both allergic and non-allergic adverse health effects. There is now strong toxicological evidence showing that secondary metabolites, including mold specific glucan, present on spores and mycelial fragments are in part responsible for these effects. At the low doses that could be experienced by the human lung indoors, metabolites from fungi have been demonstrated to alter the expression of genes involved with asthma in vivo and in vitro. These genetic alterations are accompanied by histological disruptions and inflammatory responses. The primary focus of this study was to identify and isolate the dominant toxins produced by the mentioned fungi obtained from Canadian buildings. Isolates were grown in liquid culture and screened for metabolite production. Metabolites were purified by various chromatographic methods and their structures were unambiguously determined by mass spectrometry and detailed analysis of spectroscopic data.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".