Staphylococcus borealis – A newly identified pathogen of bovine mammary glands
Bibliographic record
Abstract
Twelve Staphylococcus borealis strains, isolated in Canada and Poland from milk of cows with intramammary infections, were characterized phenotypically (biochemical reactions on ID 32 STAPH and Biolog Phenotype MicroArrays™ PM1 and PM2A, ability of biofilm production) and genotypically (random amplified polymorphic DNA). In addition, a genomic comparison was done with S. borealis strains of human and porcine origin using the multilocus sequence typing (MLST) technique. The bovine isolates showed a high degree of phenotypic and genotypic diversity, however, they could be differentiated from human strains by the negative test for urease (found in all but one bovine isolate examined with ID 32 STAPH) and positive reaction for D-galactose (on Biolog phenotype microarray PM1) and D-lactose (on both commercial systems). The MLST method, utilizing six concatenated genes of the total length of ∼2930 bp, revealed that bovine strains (irrespective of the country of origin) show a distinctly greater degree of mutual relationship than to the strains of human and porcine origin, suggesting that S. borealis has evolved independently in these hosts. In conclusion, bovine-specific S. borealis can be involved in intramammary infections in cattle.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".