Differentiating Host-Associated Variants of<i>Mycobacterium avium</i>by PCR for Detection of Large Sequence Polymorphisms
Bibliographic record
Abstract
The Mycobacterium avium species consists of a group of organisms that are genetically related but phenotypically diverse, with certain variants presenting clear differences in terms of their host association and disease manifestations. The ability to distinguish between these subtypes is of relevance for accurate diagnosis and for control programs. Using a comparative genomics approach, we have uncovered large sequence polymorphisms that are, respectively, absent from bird-type M. avium isolates and from cattle types and sheep types of M. avium subsp. paratuberculosis. By evaluating the distribution of these genomic polymorphisms across a panel of strains, we were able to assign unique genomic signatures to these host-associated variants. We propose a simple PCR-based strategy based on these polymorphisms that can rapidly type M. avium isolates into these subgroups.
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How this classification was reachedexpand
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".