Beetle biodiversity in forest habitats in Laos depends on the level of human exploitation
Bibliographic record
Abstract
Abstract Coleopteran diversity was compared between more and less disturbed lowland evergreen deciduous forests located in Phou Phanang National protected area, Lao PDR. Using window traps and pitfall traps and collecting beetles from March until December 2018, a total of 6243 specimens were obtained. The number of morphospecies found in the less disturbed forest was significantly higher as compared to the more disturbed forest. Slightly more morphospecies were found in the window traps compared to pitfall traps and a significantly higher number of morphospecies were found in the wet season (June and September collections), compared to the dry season (March and December collections). Similarly, more than twice as many specimens were found in the less disturbed forest, compared to the more disturbed forest and also again more were found in the wet season, in particular predators. The data presented here indicate that so far largely undisturbed forests in Lao PDR need to be better protected from human exploitation such as logging.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".