Can a Single Flood Event Result in Fungal Growth beneath Tile?
Bibliographic record
Abstract
Catastrophic water intrusion events, such as storm-related flooding, require the removal of building materials (i.e., base trim, gypsum board, wood flooring) to prevent or inhibit fungal growth. One material that often prompts inquiry is relatively impervious flooring, specifically, ceramic or porcelain tile and the question, “Are conditions favorable to support fungal growth beneath the tile surface following a moisture exposure event?” A variety of tile installation substrates, such as wood subfloor, gypsum board, and concrete were examined. Our investigation also examined tiles installed in areas of food handling and frequent cleaning that increased likelihood of organic material exposure from sources other than flood conditions. This paper explores the potential for fungal growth underneath tile under a variety of conditions following a flood event. The results suggest that the presence of mold spores beneath a tiled floor may be more closely related to the previous use of the tiled area (food handling, frequent cleaning) and the underlying substrate (plywood or concrete) rather than whether it was flooded.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".