<i>Helicobacter anseris</i> sp. nov. and <i>Helicobacter brantae</i> sp. nov., Isolated from Feces of Resident Canada Geese in the Greater Boston Area
Bibliographic record
Abstract
Numbers of nonmigratory Canada geese have increased substantially in the past decade, and they have become a nuisance in some urban areas. Because of their close contact with humans in parks and areas adjacent to surface waterways, contact with their feces poses a zoonotic risk. A total of 97 geese from 10 separate geographic locales in the greater Boston area had their feces sampled for detection of Helicobacter spp. Identification of Helicobacter spp. based on 16S rRNA genus-specific helicobacter primers was noted in 39 of 97 (40.2%) DNA fecal extracts. Twenty-seven (27.8%) of these geese had helicobacters isolated from their feces. A urease-positive novel species, Helicobacter anseris, based on phenotypic, biochemical, and 16S rRNA analyses, was isolated from 20 geese from seven different flocks. A second, novel, urease-negative Helicobacter sp., H. brantae, was identified in seven geese. Four geese had both novel Helicobacter spp. cultured from their feces. Whether these two novel helicobacters pose a zoonotic risk, similar to other enteric helicobacters (e.g., H. canadensis, previously isolated from diarrheic and bacteremic humans and from geese in Europe), will require further studies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".