1 Multilocus Sequence Typing Analysis of Clostridium perfringens 1 Isolates from Necrotic Enteritis Outbreaks in Broiler Chickens 2 Running Title: MLST Analysis of Clostridium perfringens from Chickens 3
Bibliographic record
Abstract
2 ABSTRACT 18 Clostridium perfringens is an important pathogen of animals and humans, and is 19 the causative agent of necrotic enteritis (NE) in poultry. This study focuses on the typing 20 of intestinal C. perfringens isolates (n = 61) from outbreaks of NE collected from several 21 areas of Southern Ontario, using a recently developed multilocus sequence typing 22 (MLST) technique. As a comparison, C. perfringens isolates from healthy birds were 23 also obtained and typed. An additional locus, pfoS, was included in our analysis, in an 24 attempt to increase the discriminatory ability of the method previously published. Birds 25 were collected from two major poultry processors in Canada, and isolates from Processor 26 2 formed a distinct MLST cluster. Isolates from healthy birds also collected from the 27 outbreak flocks clustered together with the NE birds. Although isolates from eight 28 outbreaks clustered together, MLST types were also occasionally different between 29 outbreaks. Strong linkage disequilibrium was observed between loci, suggesting a clonal 30
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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 | 0.000 | 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) | 0.000 | 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".