The Roles of <i>Clostridium difficile</i> and Enterotoxigenic <i>Clostridium perfringens</i> in Diarrhea in Dogs
Bibliographic record
Abstract
In this prospective study, feces of dogs with diarrhea were compared with feces of normal dogs for the presence of Clostridium difficile, C difficile toxins A and B, C perfringens, and C perfingens enterotoxin (CPE). C difficile toxins A, B, or both were present in feces of 18 of 87 (21%) dogs with diarrhea and 4 of 55 (7%) normal dogs (P = 0.03), whereas CPE was present in the feces of 24 of 87 (28%) dogs with diarrhea and 3 of 55 (5%) normal dogs (P = 0.01). C difficile was isolated from 2 of 87 (2%) dogs with diarrhea but was not isolated from the feces of 55 normal dogs, possibly because of poor survival of the organism in fecal samples. C perfringens was isolated from the feces of 23 of 24 (96%) CPE-positive dogs with diarrhea, 52 of 63 (83%) CPE-negative dogs with diarrhea, and 39 of 55 (71%) CPE-negative dogs with normal feces. No correlation was found between C perfringens spore number and the presence of CPE.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".