Evaluation of Different Insecticide FormulationsAgainst <i>Lipaphis erysimi</i> (Hemiptera: Aphididae), aPest on Oil Seed Crop, <i>Camelina sativa</i> in Pakistan
Bibliographic record
Abstract
False flax, German sesame and Siberian oilseed are the names used for oil seed crop, Camelina sativa L. Crantz of the family Brassicaceae. Camelina sativa is a flexible, summer annual oilseed crop that can be raised in different climatic and soil conditions. The objectives of this study were to test the efficacy of different insecticides against aphid, Lipaphis erysimi on Canadian and Australian Camelina sativa varieties. Insecticides were tested at their field recommended doses using knapsack sprayer. The data on adult mortality of Lipaphis erysimi were recorded after 24, 48, 72, 96 and 120 h. Acetamiprid and mospilon were found more effective in controlling aphid. For Canadian variety, after 5 days of application, maximum mortality was recorded for acetamiprid (98.70%) while least was observed for diafenthiuron (53.52%). In case of Australian camelina, maximum mortality (98.26%) of aphid were found using acetamiprid. Acetamiprid was the most effective insecticide to control aphid in both varieties of Camelina sativa.
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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 | 0.000 | 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) | 0.001 | 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".