Isolation and Identification of <i>Campylobacter</i> spp. from Food and Food-Related Environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Campylobacter species are among the most common causes of bacterial gastroenteritis in humans worldwide. The genus Campylobacter consists of at least 39 validly published species with wide distribution in various hosts and environments, which are either pathogens for humans or animals, or not pathogenic as identified so far. Various methods have been used for detecting campylobacters including conventional culture methods, molecular (such as polymerase chain reaction), immunological methods and genome sequencing. Currently, isolation and subsequent identification of the target campylobacters are required by most of the regulatory bodies globally. The multiple Campylobacter species exhibit diverse physiological and metabolic characteristics and growth requirements, which can interfere with the sensitivity and specificity of culture-dependent methods. Furthermore, strains among each species may behavior differently in various culture media and under various culture conditions. Therefore, it is important to apply appropriate isolation and identification methods for different types of species and samples based on specific purposes. This chapter will review the development and the current status of culture-dependent methods for the isolation and detection of various Campylobacter species from food and food-related environments during the next generation sequencing era.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it