An analysis of the horizontal burrow morphology of the oriental mole cricket (Gryllotalpa orientalis) and the distribution pattern of surface vegetation
Bibliographic record
Abstract
Food acquisition in animals that construct burrows for foraging is influenced by burrow structure associated with food distribution and searching patterns. The burrowing patterns of the oriental mole cricket ( Gryllotalpa orientalis Brumeister, 1838) (Orthoptera: Gryllotalpidae) were investigated based on analyses of the relation between burrow morphology and plant distribution. To assess differences between horizontal burrows (HB) with and without vertical burrows (VB), the number of branching points, the length of the horizontal parts, the plant ratio of the burrow area, and the burrow fractal dimension were compared. The size of the burrow area was positively related to the degree of branching. Cyperaceae and Gramineae occurred less frequently, whereas Hydrocotyle sibthorpioide Lam. and areas with no plants were more frequent in the burrow area than in the quadrat area. Juncaceae and Persicaria thunbergii (Siebold and Zucc.) H. Gross ex Nakai occurred more frequently and Lindernia crustacea (L.) F. Muell. occurred less frequently in HB without VB than in HB with VB. The ratio of burrow length to the number of branching points was not significantly different between HB with or without VB. HB with VB had a nearly planar structure (higher burrow fractal dimension) than that of HB alone. HB structure and plant composition of the burrow area differed depending on the presence of VB.
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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 | 0.000 |
| 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) | 0.000 | 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 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".