Poster and Presentation Abstracts Entomological Society of Ontario Annual General Meeting
Bibliographic record
Abstract
Headwater streams contribute to the biodiversity of freshwater systems and provide important habitats for invertebrates in agricultural landscapes.Compared to higher order and larger streams, little is known about the ecology of small headwater streams and the taxa associated with them.We report on 28 invertebrate species found in a small headwater stream on a beef pasture in central Ontario (Canada) over two years.Two species, Lepidostoma liba (Ross) (Trichoptera: Lepidostomatidae) and Pericoma albitarsis (Banks) (Diptera: Psychodidae) are first provincial records for Ontario, and several others are significant range extensions or gap infills.We discuss the importance of continued sampling in small, overlooked habitats to better understand species diversity.Where do the army worm come from?Using stable isotopes to study the migration of Pseudaletia unipuncta Doward, K., J.N. McNeil, and K.A. Hobson In Canada, many lepidopteran pest species, such as the true armyworm (Pseudaletia unipuncta), are seasonal migrants.Consequently, as little is known about their origin other than "they come from the south", current management strategies are generally based on pheromone trap catches to estimate the density of immigrants.However, if immigrant populations come from specific areas year after year, one could potentially estimate the size of immigrant populations based on overwintering conditions at the source site.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.390 | 0.114 |
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".