Food and Biomass Potential of <i>Prunus virginiana</i> L. (Chokecherry)
Bibliographic record
Abstract
Prunus virginiana L. (chokecherry) fruit has potential to provide both food and energy and as annual yield of biomass and energy are much greater than annual crops such as canola and wheat. We determined chokecherry fruit weight fractions as well as pit and extracted seed oil concentrations and fatty acid composition. Gross energy for each of the fractions was determined, as were carbon and nitrogen content. Extrapolation of these data suggests that gross energy from pits alone over a 24-year period (890 GJ·ha(-1)) is equivalent to that from an entire canola/wheat rotation (850 GJ·ha(-1)). After maturity, pulp contributes an additional 1130 GJ·ha(-1) over 21 years from ~3.4 t·ha(-1)·year(-1) (dw), while wood from pruning could add another 60 GJ·ha(-1)·year(-1). Over this time period, chokecherry would produce 1.5-2.5 times the amount of oil produced by a canola/wheat rotation.
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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 | 0.000 |
| 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) | 0.001 | 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".