Wildlife Health Centre Newsletter, Volume 11-1, Fall 2005
Bibliographic record
Abstract
Canada Takes a Big Step Forward Update from the Centre for Coastal Health West Nile Virus in non-corvid Bird Species National Cervid Population Estimates Fatal Encounter of a Great Horned Owl with a Porcupine Total Amputation of Extremities in a Raccoon Foot Gangrene in Northern Gannets Avian Cholera in the St. Lawrence Estuary in the Common Eider Verminous pneumonia in beluga whales from the St. Lawrence Estuary Pesticide Toxicities in Birds Virus Infections in Gulls & Cormorants on Lakes Erie and Ontario A Mortality Event in Freshwater Drum from Lake Ontario, Associated with Viral Hemorrhagic Septicemia virus (VHSv), Type IV Hibernation-Associated & Early Post-Emergence Mortalities of Vancouver Island Marmots in BC, May 2005 Post Mortem Findings in Small Cetacean Strandings in the Pacific Northwest, 1999-2004 Changes in the Regulatory Status of Ketamine & its Implications for Wildlife Professionals New Wildlife Disease Specialist for the Canadian Wildlife Service 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.175 | 0.066 |
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".