Jackie T. Hrabok; Nematode parasites of reindeer in Fennoscandia: Population dynamics, anthelmintic control and its environmental impact
Bibliographic record
Abstract
Jackie T. Hrabok completed an Arctic biology post-graduate student internship (2002) 'The effects of rut on muskoxen: body condition scores, body mass and histology' at the University of Alaska Fairbanks, Institute of arctic biology, Large animal research station U.S.A.She defended her Master's of science in biology (1999) 'Density, depth distribution and richness of adult chironomids (Diptera: Chironomidae) before and after experimental upland and riparian deforestation' and her Honour's bachelor of science in biology (1996) 'The possible importance of wintering yards in the transmission of Parelaphostrongylus tenuis to white-tailed deer (Odocoileus virginianus) and moose (Alces alces)' at Lakehead university, Thunder Bay, Ontario, Canada.The doctoral studies were performed at the Department of parasitology (SWEPAR) of the National
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".