Composition And Biodiversity Of Insect Species In Wheat Cultivation In Gayo Highland
Bibliographic record
Abstract
The need for wheat in Indonesia continues to increase and reaches 3.9 million tons per year. Around 80% of this requirement are supplied from, Canada, Australia and the United States. Gayo highland that belongs to the territory of Aceh province is potential for wheat plantation in Indonesia. Wheat plantation, however, faces various problems, one of them is pest attack. Various insect species come to wheat plantation and are predicted to get food sources both from vegetative and generative stages. The objectives of this study were to investigate composition and diversity of insect species in wheat plant either in vegetative or generative stages by adopting survey method. The results showed that total insects found in wheat plants were 2,858 individuals covering 13 ordos. Occurrence and diversity of the insects, either in vegetative and generative stages, tend to similar.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".