Application of a novel decontamination process using gaseous ozone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental disinfection in a health care setting is an important aspect of infection control. Recently, there has been interest in the use of vapor- and gas-based treatments for decontamination of surfaces and rooms. We describe preliminary results for an ozone-based decontamination of surfaces seeded with a range of vegetative cells and spores of bacteria of clinical relevance. The efficacy of the approach for room sanitization was also assessed. The protocol included use of a quenching agent to rapidly reduce ozone concentrations to safe levels allowing treatment times of less than 1 h for the majority of organisms tested. Using bacteria seeded onto agar plates and solid surfaces, reductions in bacterial load of greater than 3 log values were recorded for a number of organisms including Escherichia coli and methicillin-resistant Staphylococcus aureus. Application of the process in a 30 m3 room showed similar reductions in viable counts for these organisms and for Clostridium difficile spores. We suggest that the potential of this ozone-quench approach should be further evaluated for disinfection or decontamination of healthcare environments.
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.
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 it