Prevalence, Distribution, and Risk Factors Associated With<i>Macracanthorhynchus ingens</i>Infections In Raccoons From Ontario, Canada
Bibliographic record
Abstract
Macracanthorhynchus ingens is an acanthocephalan parasite commonly found in raccoons ( Procyon lotor) in the United States. Little is known, however, about the prevalence and distribution of M. ingens in raccoons in Canada. Our objective was to investigate the prevalence, distribution, and risk factors associated with M. ingens infection in raccoons in southern Ontario, Canada. Raccoon carcasses submitted to the Ontario/Nunavut region of the Canadian Wildlife Health Cooperative for post mortem from June 2016 to January 2017 (n = 380) were examined for the presence of gastrointestinal helminths. Macracanthorhynchus ingens was found in raccoons from areas across southern Ontario where carcasses were submitted. The prevalence of M. ingens in our sample was 14.0% (95% CI = 10.6-17.8) with a median of 4 worms per infected host (range 1-46). Univariable logistic regression modeling was conducted to examine the influence of age, sex, season, degree of urbanization (urban/suburban/rural), and Baylisascaris procyonis infection on the presence of M. ingens. Significant associations were found between M. ingens infection and degree of urbanization as well as B. procyonis infection. No associations were found between M. ingens infection and age, sex, or season. To our knowledge, this is the first report describing the prevalence and distribution of M. ingens in raccoons in Canada.
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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 | 0.000 | 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) | 0.001 | 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 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".