Effects of semichemicals of non-preferable plants on the populations of Thrips palmi
Bibliographic record
Abstract
The effects of 16 kinds of semichemicals of non-preferable plants on Thrips palmi were studied in the laboratory. The results showed that the oviposition deterrrent indices (ODI) of turpentine and azadirachtin were 94. 12% and 81.48% , respectively, the best effects compared with other extracts. Azadirachtin, eucalyptus oil and trupentine also had stronger feeding deterrent activity than other extracts to the adults of Thrips palmi. The feeding deterrent indices (FDI) to the adults were 81. 25%, 70. 53% and 65. 25%, respectively. The effects of controlling T. palmi by treating azadirachtin, Ageratum conyzoides, eucalyptus oil and the abstract of Alocasia macrorrhica were 82. 22% , 70. 84% , 67.94% and 48.13%, respectively. The natural enemies could be affected by eucalyptus oil, but the other three compounds could not kill the natural enemies.
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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".