Bibliographic record
Abstract
An Infection Prevention and Control (IPAC) lapse at a physician’s office resulted in 54 non-compliance issues identified. Eight high-risk items were all associated with reprocessing. Examination of the autoclave revealed numerous structural concerns as it was a discontinued model of autoclave that originated from a retired physician. Three biological indicators were used to verify effectiveness of the autoclave but all of which failed. In consultation with Public Health Ontario’s IPAC team, contract tracing was needed as there was a risk to patients. Without adequate sterilization logs, the timeframe of patient records needed was the date after the autoclave was serviced by a technician until the date of the initial investigation. Lessons learned from this investigation include the need to reach out to suppliers to confirm compatibility of biological indicators with older model autoclaves and the importance of reviewing technician reports to understand when the device was last effective. With an increase in physician’s retiring during the COVID-19 pandemic, this case study highlights how discontinued autoclaves may be re-circulated into practice. This could result in similar issues faced by other public health inspectors.
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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".