The Preventive Use of Probiotics Against Gastrointestinal HAIs in Ontario
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
Given confounding evidence in the literature and the lack of standardized guidelines in Canada, little is known about the process through which clinical dieticians decide whether or not to implement a probiotics course with the intent of preventing gastrointestinal healthcare-associated infections (HAIs) in Ontario. This study uses a mixed-method design featuring a content analysis of the literature and a survey addressed to clinical dietitians in Ontario to investigate (a) the likelihood of clinical dietitians in recommending probiotics course to prevent gastrointestinal healthcare-associated infections (HAIs) and (b) their reasoning in setting certain parameters of such a probiotics course. Among the four respondents obtained for the survey, all ranked their likelihood of prescribing probiotics to prevent nosocomial gastrointestinal infections as medium or less. The determination of parameters in a course were largely influenced by guidelines and/or evidence, case-specific consideration and fixed procedures, as these were mentioned among other themes by the largest number of respondents and were included in the largest amount of questions on average. Finally, parameters which the majority of respondents determined using the same themes were the dose of probiotics, timing of the course with regards to antibiotics, and type of probiotics. 
 Keywords: Probiotics, Gastrointestinal infections, Nosocomial infections, HAIs, Gut flora, Antibiotics, Antimicrobial resistance
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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