Bibliographic record
Abstract
As COVID-19 case numbers grew during the pandemic, so did the market for alcohol-based hand sanitizers. With demand outstripping supply, many companies stepped up to make the product or its key ingredient, ethanol, which dismantles SARS-CoV-2, the virus that causes COVID-19. Regulatory agencies such as the US Food and Drug Administration and Health Canada also relaxed regulations in response to the pandemic so that alcohols such as technical-grade ethanol, which has higher levels of specific contaminants than the typical pharmaceutical-grade ethanol, could be used for hand sanitizers. But in a recorded talk played at ACS Spring 2021, Timothy J. Tse of the University of Saskatchewan reported that some hand sanitizers have worrying levels of impurities. Tse presented the data ( Int. J. Environ. Res. Public Health 2021, DOI: 10.3390/ijerph18073766 ), during a talk in the Division of Agricultural and Food Chemistry. Tse and colleagues Fina B. Nelson and Martin J.
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".