First report of the Palearctic sawfly <i>Pristiphora subbifida</i> Thomson 1871 (Hymenoptera: Tenthredinidae) in Canada
Bibliographic record
Abstract
Species are moved by human activity.the frequency of such movement is increasing in the Anthropocene (Steffen et al. 2011).identifying such translocations is a challenge, especially within the largest and most diverse taxon -the insects.One method to facilitate the identification of these adventives is via DnA associated with publicly accessible DnA barcodes in the Barcode of Life Data System (BOLD) (Ratnasingham and hebert 2007).We report here the discovery of a Palearctic sawfly (Pristiphora subbifida (thomson 1871) (hymenoptera: tenthredinidae)) in Canada via Malaise trapping paired with DnA barcoding.the detection was contextualised to a species level via inclusion in the DnA barcode library where it was directly comparable to large-scale barcoding initiatives in Europe and Canada.During the flight season (April -november) in 2009-2011, a townes-style Malaise trap (Malaise 1937; townes 1962) was erected in a downtown backyard in Guelph, Ontario, Canada (43.554, -80.264;Fig. 1). the trees in the yard and surrounding area include several maple species (norway, Manitoba and Sugar -Acer platanoides L., A. negundo L. and A. saccharum Marshall), spruce (Picea glauca (Moench) Voss), black walnut (Juglans nigra L.), and dogwood (Cornus L. spp.). in 16 May 2010, a Malaise trap sample spanning the previous fortnight was collected from the location above.trap contents were moved to the Biodiversity institute of Ontario (BiO) where they were sorted, photographed and tissuesampled for DnA barcoding (Fig. 2) by the collections staff.the DnA barcode produced from the DnA extract of this single sawfly specimen was added immediately to the public library of DnA barcode sequences on the Barcode of Life Data System.there, it received
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".