New range records, and a comparison of sweep netting and malaise trap catches of horse flies and deer flies (Diptera: Tabanidae) in northern Ontario
Bibliographic record
Abstract
Horse flies and deer flies (Diptera: Tabanidae) were surveyed in northern Ontario, Canada in 2011, at 11 sites, and 2012, at 12 sites using Malaise traps and daily sweep netting. A total of 2168 tabanids representing 30 species: 10 Chrysops, 18 Hybomitra, and two Tabanus were collected. Malaise traps caught fewer individuals than sweep netting but more species: 850 tabanids of 28 species, eight of which were not caught by sweep netting. Sweep netting caught 1318 tabanids of 22 species, with two not found in Malaise trap samples. The first record of Hybomitra osburni (Hine) in Ontario, and range extensions for several other species are given.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 teacher head, 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".