Cranberry production in Washington
Bibliographic record
Abstract
Cranberries are grown in the coastal region of Washington in the marsh or bog areas not adapted to other crops.Approximately 1,100 acres produce 4,000 to 5,000 tons of berries annually.The cranberry has been cultivated in the Cape Cod section of Massachusetts and in New Jersey for nearly 150 years.The first cranberry bog in the state of 1~ashington was planted about 1882.The cultivated cranberry, Vaccinium macrocarpon Ait., is native to peat bogs of the northern states from Maineto Minnesota, and of Canadian provinces to the northward.Vaccinium quadripetalum, the wild cranberry native to Washington, is foQ~d in peat bogs along the Coast and in open meadows of the Cascade Mountains.No commercial varieties have been developed from it.The cranberry plant is a trailing woody vine (Fig. 1).It produces stems or runners from 1 to 6 feet or more in length.From these runners short vertical branches or "uprightst: from 2 to 8 inches in height are produced.Most of the fruit is borne on the uprights.The leaves, which are dark glossy green in summer and dull reddish brown during the dormant season, stay on the plant for about two years bei'ore dropping.* Photographs for Figures 9, 10, 11, and 12 were taken by Edward P. Breakey. PREPARING THE BOG FOR PLANTING Clearing and LevelingAfter a site is selected, all surface vegetation, roots, and stumps must be removed.Burning on peat land should be done only when the water table is close to the surface or when it can be raised to the surface if necessary.Peat fires can burn for months underground.The peat should be torn up as little as possible.Once holes are made in peat, it is difficult to fill them so the ground remains level.Mechanical equipment such as po1-fer shovels and light dozers are available for clearing work.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.050 | 0.007 |
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".