Agronomic and consumer considerations for Bt and conventional sweet‐corn
Bibliographic record
Abstract
In this farm‐to‐fork trial, genetically engineered (GE) Bt sweet‐corn and Bt potatoes were grown side‐by‐side with conventional varieties in the 2000 growing season at a farm and market in Hillsburgh, Ontario, Canada. The Bt sweet‐corn required no insecticides. From an economic perspective, only the first planting had pest pressure high enough to warrant the higher seed cost of the GE variety. The sweet‐corn harvested throughout the trial was segregated and labeled, and direct consumer evaluation of purchasing preferences was conducted. Overall, the Bt sweet‐corn outsold the conventional sweet‐corn by a margin of 680 dozen (or 8,160 cobs) to 452.5 dozen (or 5,430 cobs). A limited number of intercept interviews were conducted after consumers made their purchasing decision. The majority of consumers interviewed said they were more concerned about pesticides than genetic engineering; however, taste and quality also had a strong influence on purchasing decisions.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".