Bibliographic record
Abstract
Summary The genus Ribes L., known as currants and gooseberries, contains more than 150 diverse species indigenous throughout the northern hemisphere and along the Rocky Mountain, Sierra Nevada and Sierra Madres in North America through mountain ranges of Central America to the Andes in South America. Beginning in the 1400s, four main crop types, black currants (Ribes, subgenus: Ribes, section: Botrycarpum), red and white currants (Ribes, subgenus: Ribes, section: Ribes) and gooseberries (Ribes, subgenus: Grossularia) were domesticated from European species. American and Eurasian species were selected and combined into the germplasm base of European and American breeding programmes in the 1900s. Black currants (R. nigrum and hybrids) are a major economic crop in many European countries but are minor in North America, although they can be produced successfully in the northern states and southern portion of the Canadian provinces. Ribes plants can be hosts for white pine blister rust, caused by Cronartium ribicola. This disease was introduced from Asia through Europe into North America ca. 1900. Restrictions were imposed on currants and gooseberries in the United States when the rust was observed on this continent. Although some states have recently repealed these restrictions, by 2009, 12 states continue to have 40‐year‐old laws prohibiting or restricting Ribes cultivation. The purpose of this paper is to describe the cultivation of currants and gooseberries and their interaction with rust. Ribes production has a potentially great economic value in American, niche markets that could help sustain small‐acreage, berry farmers.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".