2021 Annual Conference Conférence Annuelle
Bibliographic record
Abstract
OBJECTIVES: Clostridioides difficile infection (CDI) is associated with significant morbidity and mortality.Guidelines recommend multi-step testing algorithms.It is not clear how patients with an indeterminate combined glutamate dehydrogenase antigen-toxin enzyme immunoassay (EIA) clinically present or are managed.We aim to gain a better understanding of the clinical presentation, pharmacologic management, and outcomes of this group of patients. METHODS:A retrospective chart review of adult patients admitted to a tertiary academic centre with C. difficile testing performed at a provincial laboratory between November 1, 2018, and October 31, 2019, was undertaken.The laboratory employs a modified two-step algorithm using an enzyme immunoassay arbitrated by nucleic acid amplification testing (polymerase chain reaction [PCR]) for indeterminate EIA results.Specimens were excluded if they were referred in, from outpatients (including the emergency department), from inpatients discharged within 24 hours, and represented repeat episodes.RESULTS: After inclusion and exclusion criteria were applied, 190 patients tested indeterminate.Of those, 77 (41%) tested https://jammi.utpjournals.press/
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.461 | 0.368 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".