Effect of shading on trap nest utilization by hole-nesting aculeate Hymenoptera
Bibliographic record
Abstract
For many years, trap nests have been used to study hole-nesting bees and wasps (aculeate Hymenoptera) and to monitor their diversity and abundance (Krombein 1967; Danks 1971; Godfrey and Hilton 1983; Frankieet al.1998). Trap nests are valuable for environmental assessment (Tscharntkeet al.1998) and for agriculture through improved pollination by bees (Bosch 1994; Stubbset al.1997; Hallett 2001) and biological control by wasps (Harris 1994). Frankieet al.(1988) indicated that shaded environments might be preferred habitats for some solitary bees that use tree holes for nesting. Shading could offer protection from natural enemies as well as wind, rain, and sunlight, resulting in stabilized humidity and temperature. As far as we are aware, ours is the first experimental study to consider the effect of shading of trap nests.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".