A Comparison of Table Grape Selections Bred atSummerland, British Columbia
Bibliographic record
Abstract
Several crosses were made between 1977 and 1980 at the Agriculture and Agri-Food Canada Research Center, Summerland, British Columbia to fulfill demand for reliably winter-hardy, high-quality table grapes. By 1986, at least nine were identified as being superior and worthy of second test status. Five of these were white seedless types [Selections 433, 495 ('Skookum Seedless'), 497, 535 ('Sooke Seedless'), 537); also selected were one seedless pink (Selection 434), one seeded white (Selection 494) and one seeded pink (Selection 651). In many cases, these selections proved equal or superior to standard cultivars to which they were compared; these were: 'Himrod', 'Interlaken', 'Lakemont', and 'Romulus' (white seedless); 'Einset Seedless' (pink seedless); 'Seneca' (seeded white), and; 'Festivee' (pink seeded).
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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) | 0.003 | 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".