Simulation Model for Population Dynamics of<i>Frankliniella occidentalis</i>(Thysanoptera: Thripidae) on Greenhouse Cucumber
Bibliographic record
Abstract
A distributed-delay simulation model was developed for Frankliniella occidentalis (Pergande) on greenhouse cucumber. The life history parameters used for construction of the model were obtained from published data. The model was validated using population growth data that were obtained by sampling two greenhouse cucumber crops. Predicted population dynamics by the model were in agreement with observed greenhouse population dynamics of F. occidentalis when population densities were <550 adults and larvae per plant. Sensitivity analyses revealed that sex ratio and fecundity by females were the most sensitive parameters in the population model. The simulation model was used to determine the economic thresholds for F. occidentalis based upon previously established economic injury levels. This was done by investigating the population dynamics of F. occidentalis in situations where a pesticide was applied when the population levels exceeded the determined economic thresholds at temperatures of 20 and 25°C. The effects of initial thrips density combined with different thrips invasion rates or temperatures on the population growth of F. occidentalis were also evaluated by the simulation model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".