Bibliographic record
Abstract
Arcobacter, which are Gram-negative, zoonotic and aero-tolerant bacteria belonging to the family Campylobacteraceae, differentiate from Campylobacter, as it is able to grow at 15 oC and optimally at 30 oC in aerobic conditions, but not at 42 oC and it contains 27-30% moles of G+C but not menaquinone-6 which is one of the major isoprenoid quinones. Arcobacter have some species like A. butzleri, A. cryaerophilus, A. skirrowii, A. cibarius, A. sulfidicus. It is known that Arcobacter recently caused food poisoning outbreaks in some countries like Italy, Canada and Brazil. It is reported that Arcobacter causes infections in humans through contaminated water, poultry, meat carcasses, meat products and raw milk. Researches on pathways of spread to humans and toxin mechanisms are very limited and insufficient. It is known that these bacteria are resistant to some of the antibiotics to some extent. In this review, potential pathogenity of Arcobacter spp. in animals and humans, pathways of spread, problems caused by these bacteria and possible control measures were discussed.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".