Mosquito Larval Abundance in Connected and Isolated Pools Beside a Stormwater Management Pond
Bibliographic record
Abstract
Twelve experimental pools (30 cm width × 30 cm depth) around a large stormwater management pond (SWMP) were used to test the hypothesis that small puddles of water similar to animal hoofprints or other irregularities support more abundant and diverse mosquito populations due to having fewer insect predators. Six of the 12 pools were connected to the SWMP by a deep channel (7 cm wide × 10 cm depth × 50 cm length). Mosquito larvae and potential predators were sampled weekly over 16 wk in the summer. More mosquito larvae were found in the isolated pools than in connected pools or in the pond itself (U = 5.5, z = 2.002, P = 0.045). The observed differences between isolated and connected pools are presented and results discussed in terms of SWMP design.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".