Systems Failures - Analysing Stakeholder Influence through Case Histories.
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
To date, there is only one published report of an outbreak of urinary tract infections by <i>Salmonella</i> species after cystoscopy. Disinfection procedures for cystoscope have come into question. The current study aimed to determine the odds of developing <i>Salmonella</i> bacteriuria after cystoscopy. A retrospective case-control study was conducted on all patients with <i>Salmonella</i> species in urine (case) and blood (control) from 2017 to 2019 in 16 hospitals in Eastern Ontario, Canada. Eight of the 11 patients had cystoscopy prior to <i>Salmonella</i> bacteriuria; three of the 74 patients had urological procedures prior to <i>Salmonella</i> bacteremia, but none of their procedures were cystoscopy. The odds ratio of urological procedures with <i>Salmonella</i> bacteriuria was 63.1 (95% CI 10.9 to 366.6; <i>p</i> < 0.0001). In the bacteriuria group, the most frequently identified isolates were <i>Salmonella enteritidis</i> (n = 8), followed by <i>Salmonella oranienburg</i>, and <i>Salmonella heidelberg</i>. Seven of the <i>S. enteritidis</i> isolates had identical susceptibilities (ampicillin-sensitive; sulfamethoxazole/trimethoprim-sensitive; ciprofloxacin intermediate). In the bacteremia group, the most frequently identified isolates were <i>S. enteritidis</i> (n = 22), followed by <i>Salmonella typhi</i>, <i>S. heidelberg</i>, <i>S. oranienburg</i>, and <i>Salmonella typhimurium</i>. The result suggested cystoscopy is a risk factor for <i>Salmonella</i> bacteriuria. Identification of <i>Salmonella</i> bacteriuria should prompt public health investigations of linkage between cystoscopy and <i>Salmonella</i> bacteriuria.
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 | 0.001 |
| 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