Range Expansion of Fascioloidesmagna in North Carolina
Bibliographic record
Abstract
In North Carolina, Odocoileus virginianus (White-tailed Deer) are the definitive natural hosts of Fascioloides magna (Giant Liver Fluke). Previous research identified the enzootic range of Giant Liver Fluke in North Carolina to be within the Tar River and Roanoke River Basins in Halifax and neighboring counties. Recent Giant Liver Fluke infections of Ovis aries (Domestic Sheep), Capra hircus (Domestic Goat), Lama glama (Llama), Vicugna pacos (Alpaca), and Bos taurus (Cattle) outside the historic enzootic range prompted us to investigate the current range of Giant Liver Fluke in North Carolina. From September 2014 to January 2015, we examined livers from hunter-harvested White-tailed Deer within 16 North Carolina counties. We detected Giant Liver Fluke in livers from 5 counties, with an overall prevalence of 10.3%. Besides reporting the first Giant Liver Fluke infections of livestock in North Carolina, we documented new geographic localities (Cabarrus, Franklin, Mecklenburg, Union, Wake, and Washington counties) for Giant Liver Fluke. An increased impact on North Carolina livestock is likely with the possible range expansion of Giant Liver Fluke, which may be related to the increase in populations of White-tailed Deer.
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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 | 0.000 |
| 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 | 0.000 |
| 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 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".