Wildlife Health Centre Newsletter, Volume 12, Spring/Summer 2006
Bibliographic record
Abstract
Canada’s Inter-agency Wild Bird Influenza Survey—Results from 2005 Devil’s Lake Pathogen Surveys Wildlife Health Alert—Adenoviral Hemorrhagic Disease of Deer Anticoagulant Rodenticide Toxicity in Birds Salmonellosis Returns to the Maritime Provinces’ Passerine Bird Populations Skin Disease in Canada Geese Escherichia albertii in Songbirds on Prince Edward Island Illegal Shooting of Raptorial Birds in the Province of Quebec from 1986 to 2004 Nocardiosis in a Juvenile Hooded Seal (Cystophora cristata) Autopsy of the Beluga Whales Necropsy Program: Two Decades of Data Schistosomiasis-related Mortality in Ring-billed Gulls Common Toxicological Problems of Ontario Wildlife Fenthion Poisoning in Black-billed Magpies (Pica pica) Demodecosis in a Mule Deer (Odocoileus hemionus hemonius) from Saskatchewan First Charitable Donation Download your newsletter from our Website
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.280 | 0.105 |
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".