Bibliographic record
Abstract
Clostridium difficile is the most common nosocomial infection of the gastrointestinal tract. Most cases are associated with antibiotic therapy that alters the fecal flora, allowing overgrowth of C difficile with production of its toxins. Diagnosis is made by detection of the organism or toxin in the stools. A variety of different tests can be used, but none is perfect. A stool culture can be positive in someone without diarrhea, ie, a carrier. While the cytotoxin is the gold standard, it is expensive, and there is a delay before results are available. Thus, many laboratories use the enzyme-linked immunoassay tests to detect toxin of C difficile because they are a more rapid screen. Depending on the specific test used, they can detect toxin A, toxin B or occasionally both. Sensitivity and specificity rates vary. First line therapy for C difficile disease should be metronidazole 250 mg qid for 10 days. Vancomycin should be reserved for severe cases where metronidazole has failed or where metronidazole cannot be tolerated or is contraindicated. Recurrent C difficile disease is a particularly vexing clinical problem. A variety of biotherapeutic approaches have been used. Retreatment with antibiotics is almost always necessary. In addition, the nonpathogenic yeast Saccharomyces boulardii has been showed to be of benefit as an adjunct in preventing further recurrences.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".