Epizootic occurrence of <i>Entomophaga maimaiga</i> at the leading edge of an expanding population of the gypsy moth (Lepidoptera: Lymantriidae) in north-central Ontario
Bibliographic record
Abstract
Ever since its entry from New York State in the late 1960s, the gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), has continued to expand its distribution in Ontario to the north and west (Nealis and Erb 1993). Outbreaks were recorded for the first time in the Sudbury – North Bay region in the early 1990s, by which time there was evidence of resident populations extending along the north shore of Lake Huron as far west as Lake Superior. The population expansion along the north shore is characterized by a patchy occurrence of small outbreaks, which typically last for a few years and then disappear (Annual Forest Health Reports, Great Lakes Forestry Centre, http://www.glfc.cfs.nrcan.gc.ca/foresthealth/index_e.html ). Nealis et al. (1999) found that winter weather, parasitoids, and the gypsy-moth-specific fungal pathogen Entomophaga maimaiga Humber, Shimazu et Soper (Zygomycetes: Entomophthorales) were the most prominent sources of mortality in those transient outbreaks.
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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 | 0.001 | 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".