Establishment and Management of the Cultivated Lowbush Blueberry (<i>Vaccinium angustifolium</i>)
Bibliographic record
Abstract
Cultivated blueberries (Vaccinium corymbosum and V. virgatum) have been propagated and planted successfully throughout the world. The lowbush blueberry (V. angustifolium and V. myrtilloides) have large areas of production in the state of Maine in the United States and in the Atlantic and Quebec Provinces in Canada on managed naturally occurring native stands. Except for some small demonstration plantings in Canada and a few plantings in Northern China, it has not been managed as a cultivated plant. Extensive plantings of cultivated lowbush blueberries have not been developed because of the slow establishment and lack of rhizome production from cuttings that limit its productivity compared to the cultivated blueberry. Tissue culture plants offer a more juvenile growth habit and quicker establishment, but may not yield as well as cuttings. Lowbush blueberry plants establish from seed quicker but have more genetic variability and a lower yield. A seed propagated lowbush blueberry family such as ‘Novablue’ will provide both rapid establishment and high yields. If planted on the proper sites and managed in the same manner as the wild blueberry, this would provide cultivated lowbush blueberry fields that are more productive than their native North American wild blueberry counterparts.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".