Bibliographic record
Abstract
The corn earworm (Helicoverpa zea) is the most destructive insect pest of sweet corn in the US and has been noted to be one of the most destructive plant feeding insects in the world. Preferred crops for earworm include corn, tomato, sorghum, vetch, and cotton. On these crops, the pests are called corn earworm, tomato fruitworms, sorghum headworm, vetchworm, and the American cotton bollworm, respectively. Corn earworm will also feed on numerous other crops, including alfalfa, oat, soybean, sunflower, asparagus, cabbage, cantaloupe, cucumber, eggplant, bean, pea, pepper, potato, pumpkin, and watermelon as well as some weed hosts. Corn earworm occurs throughout the Americas, being a native insect pest occurring from Argentina in the south to Canada in the north. The goal of this publication is to discuss the biology of corn earworm and to aid commercial producers and crop consultants by providing scouting techniques and control options for this pest in sweet corn.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.024 |
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; both teacher heads agree on what is shown here.
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".