Bibliographic record
Abstract
Bacillus cereus is becoming an important nomosomial pathogen because of frequent isolation from blood cultures and from severe systemic infections. To differentiate highly pathogenic outbreak strain of B. cereus from other sources of the Bacillus cereus, we attempted to analyze their dnaJ sequences. Assays indicated that dnaJ sequence similarity of all of 52 blood culture isolates of B. cereus ranged from 92.8% to 100%. The distance between B. anthracis and B. cereus except six outbreak isolates ranged from 3.8% to 6.4%. The dnaJ sequences of six outbreak strains of B. cereus (GTC 02891, GTC 02896, GTC 02916, GTC 02917, GTC 03221, and GTC 03222) were closely related to those of B. anthracis (99.2%-99.5% sequence similarity). Ba813 sequences were only found in the six outbreak strains of B. cereus. The other pathogenic factors of B. anthracis were not found in these six outbreak strains, with the exception of GTC 02891 (cap-positive). The six outbreak strains formed clear β-hemolytic colonies on a sheep blood agar plate. Our findings suggest that outbreak strains of B. cereus isolated from blood cultures are likely to have the risk of causing serious infection, and dnaJ and Ba813 are important markers to identify such strains. Phylogenetic analysis of dnaJ and MLST revealed that the six outbreak strains of B. cereus are closely related to B. anthracis.
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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) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.504 | 0.556 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".