Identification of Catalase-Negative, Non-Beta-Hemolytic, Gram-Positive Cocci Isolated from Milk Samples
Bibliographic record
Abstract
This study was undertaken in an effort to improve the identification scheme of catalase-negative, non-beta-hemolytic, gram-positive cocci isolated from milk samples obtained from cows. First, the sensitivity and specificity of the identification procedure currently in use in our laboratory were compared to the results obtained with API 20 STREP strips which were set as the gold standard. Second, a number of other identification tests, which could contribute to increase the sensitivity and specificity of the identification procedure of these microorganisms, were evaluated and selected. The data have shown that there is a necessity to review the identification procedure. Some modifications are suggested to laboratories doing milk sample analyses. A standardized procedure, using the CAMP test, esculin and sodium hippurate hydrolysis, the presence of the enzymes pyrolidonyl arylaminase and leucine aminopeptidase, and acid production from 1% inulin and raffinose broth, would not only improve the results of the identification process of gram-positive cocci isolated from milk samples but also ensure greater uniformity of the epidemiological data.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".