Distribution and diversity of terrestrial isopods (Isopoda: Oniscidea) in Canada, including new records and a species checklist
Bibliographic record
Abstract
Abstract Terrestrial isopods (Isopoda: Oniscidea), also known as sowbugs or woodlice, are one of the few groups of crustaceans with fully terrestrial members. Sowbugs are readily transported by human activity, with many species having been introduced worldwide. Although nonnative sowbugs have been present in Canada for more than 150 years, the study of sowbugs in Canada has been largely overlooked, especially in the Prairie Provinces. We conducted the first survey of sowbug species in Alberta, with additional collections from British Columbia, Saskatchewan, Ontario, and Newfoundland. We compiled an updated Canadian species checklist of 32 species from 12 families, including seven new species records for Canada since the previous 2001 checklist. Species with older records tend to occupy more provinces than species recorded more recently. Nine sowbug species occur in Alberta: all are nonnative and originate from Europe or Asia. Our collection of Nagurus cristatus (Dollfus, 1899) (Trachelipodidae) from Edmonton represents the first record from Canada. We support our identifications with molecular data (cytochrome c oxidase subunit 1 barcode region). Further surveys of sowbugs in the Prairie Provinces may uncover additional species; we encourage reporting of sowbug bycatch from arthropod surveys and note the utility of community science platforms for conducting sowbug surveys.
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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 | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".