Performance of the TechLab <i>C. DIFF</i> CHEK-60 Enzyme Immunoassay (EIA) in Combination with the <i>C. difficile</i> Tox A/B II EIA Kit, the Triage <i>C. difficile</i> Panel Immunoassay, and a Cytotoxin Assay for Diagnosis of <i>Clostridium difficile</i> -Associated Diarrhea
Bibliographic record
Abstract
We compared a recently marketed enzyme immunoassay for glutamate dehydrogenase (GDH), TechLab's C. DIFF CHEK-60 (TL-GDH), in combination with the C. difficile Tox A/B II enzyme immunoassay (Tox-A/B) with (i) the Triage C. difficile test, which detects both GDH (TR-GDH) and toxin A (TR-Tox-A); (ii) an in-house cytotoxin assay (C-Tox); and (iii) stool cultures for C. difficile. All C. difficile isolates were tested for the presence of the toxin genes by PCR. If a toxin gene-positive strain of Clostridium difficile was recovered and a toxin was detected by any method, the result was considered to be truly positive. Eighty-seven of 93 and 79 of 93 C. difficile culture-positive samples were also TL-GDH and TR-GDH positive, respectively. No test was able to detect toxin in all samples with true-positive results. Tox-A/B and TR-Tox-A in combination with the GDH detection tests and C-Tox were able to identify 52 and 50 samples with true-positive results. Tox-A/B and TR-Tox-A would have missed 15 and 31% of cases of C. difficile-associated diarrhea, respectively, if used alone.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".