Sympatric speciation in the Simuluim arcticum complex (Diptera: Simuludae)
Bibliographic record
Abstract
Five separate data sets were included in our analyses: Alaska (Shields and Procunier 1982), Montana, Idaho, and eastern Washington (Shields 2013; Shields 2014; Shields and Shields 2017 and Shields, unpub. data); throughout the range of S. arcticum (Conflitti et al. 2016); western Canada (Procunier, unpub.); and throughout the range of S. arcticum (Adler et al. 2004. Locations for 299 sites were determined with varying accuracy. There were 125 sites associated with recent collections using GPS capture that have an accuracy of plus or minus 5 m. There were 90 legacy sites with good location descriptions with coordinates captured with Google Earth that we are confident are within 1 km of the collection location. Finally, 84 sites had poor location descriptions often listing only a county. We used the centroid of the county location for these sites resulting in a spatial accuracy of approximately 100 km. Both the GPS coordinates and the Google Earth capture location used the datum WGS 1984. Locations for each site along with associated sibling species and cytotypes were used to create an attribute table.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".