The Detection, Quantification, and UV Inactivation of Waterborne Rotavirus
Bibliographic record
Abstract
Rotaviruses are waterborne pathogens that cause severe gastroenteritis and are highly UV-resistant. Ultraviolet light at 254 nm has been shown to cause the inactivation of rotavirus; little research on the capabilities of other UV wavelengths has been conducted. In this project, multiple wavelengths across the UVC spectrum were tested for their ability to inactivate the Wa and SA11 rotavirus strains. Action spectra generated show that SA11 is more susceptible to UV light than Wa, especially at lower wavelengths. Rotavirus was also quantified in wastewater samples from London, Ontario across months with varying levels of stringency from the COVID-19 pandemic. Using a qPCR detection assay, it was determined rotavirus concentrations fluctuate throughout time, although it is unclear if societal restrictions had an impact on this. These results provide important data for development of water treatment processes that use UV light to eliminate pathogens, as well as monitor the prevalence of rotavirus.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".