(2) Icebox Watermelon Variety Trial in Western Washington
Bibliographic record
Abstract
Icebox watermelons first appeared in the United States about 50 years ago. They weigh between 6 and 12 pounds and come in a variety of shapes and colors. With a rising interest in local production, organic produce, and direct marketing, farmers in Washington are looking to diversify crop varieties to meet these demands. Icebox watermelons offer a means of locally producing high-quality watermelons. In 2004 and 2005, we evaluated icebox watermelon varieties to determine which are most suitable for production in our region. In 2004, we evaluated 44 varieties of icebox watermelon and in 2005 we evaluated 100 varieties at WSU Vancouver REU. Varieties were seeded in the greenhouse mid-April and transplanted to the field by mid-June. The greenhouse and field were managed organically. The study design was a randomized complete-block with three replications. Plots were single rows, 6.1 m long, with seven plants per plot. Spacing was 1 m between plants and 3 m between rows. Plants were mulched with black plastic and drip-irrigated 2.5 cm per week. Melons were harvested twice weekly, from mid-August through mid-October. Fruit weight, number, and size were measured, and percentage of soluble solids was measured using a °Brix meter. General eating quality was also evaluated. Summaries of selected varieties will be presented here. To view other varieties included in the trial, see our website, http://agsyst.wsu.edu . Results of this study show significant differences among icebox watermelon varieties in total yield, number of fruit per plot, average fruit weight, number of days to harvest, and percentage of soluble solids. These preliminary findings indicate that more than 80 varieties of icebox watermelon can be grown productively in our region.
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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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".