A Retrospective Study of Dogs Infected with Ehrlichia canis from 2017-2019 in the Thonburi Area of Bangkok Province, Thailand
Bibliographic record
Abstract
Ehrlichia canis is a tick-borne rickettsia. It can cause canine monocytic ehrlichiosis (CME). Infected dogs are often reported to have changes in their blood values, such as anemia, thrombocytopenia, increased liver enzymes, and increased kidney function values. This study aimed to collect data that may be related to infected dogs, including age, gender, breed, weight, close-open housing system, the use of ectoparasiticides products. The sample comprised 57 infected dogs. Collecting hematology and serum biochemistry changes in comparison with the reference values of dogs detected with Ehrlichia canis from 2017-2019, Thonburi District, Bangkok, Thailand was also carried out. In summary, dogs infected with Ehrlichia canis mostly included mixed-breed dogs aged between 1 and 10 years. There were no differences in body weight or housing systems. Dogs that had never used ectoparasiticide products or used them intermittently were infected more often (by 7.14 times) than protected. Clinical hematology and serum biochemistry found anemia, thrombocytopenia, and increased liver enzymes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".