Bibliographic record
Abstract
The commercial blackberry (Rubus sp.) industry in the United States and Canada can be roughly divided into eastern North America, Oregon, and California components. In the eastern United States, the plantings tend to be fairly small (mostly <0.25 ha, but up to 8 ha), geared towards pick-your-own or local sales, with either semierect (e.g., 'Chester Thornless') or erect (e.g., 'Navaho') cultivars In Oregon, there are 2500 ha in production (National Agricultural Statistics Service-Oregon Agricultural Statistics Service, 1999), the crop is primarily machine-harvested for the processing market, and the cultivars are trailing types (e.g., 'Marion' and 'Thornless Evergreen'). The California blackberry industry, while still relatively small, is expanding, using publicly and privately developed trailing, erect, and semierect cultivars that are hand-harvested for wholesale, fresh-market sales. Breeding programs in Florida and Texas have developed blackberry cultivars from indigenous species, but have not accounted for a significant acreage in North America.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".