Frequencies of Diploid Males in Natural Populations of Three North American Bumble Bee (<i>Bombus</i>) Species (Hymenoptera: Apidae)
Bibliographic record
Abstract
Abstract We used four DNA microsatellite markers and detected diploid males in two out of three species of North American bumble bees from Alberta, Canada. The estimated average proportion of diploid males, , in Bombus occidentalis Greene and Bombus perplexus Cresson was ≈ 3% (n = 112) and 6% (n = 104), respectively. However, there was no significant difference between these estimates. Because no diploid males were detected in the sample (n = 81) of Bombus terricola Kirby, no estimate of could be made directly, but the upper limit to that would be found in a sample of this size, was ≈ 4%. The average over the three species was ≈ 4%. This is the first report of diploid males in natural populations of North American bumble bees.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 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".