Resistance of sweet cherry cultivars to fruit surface pitting
Bibliographic record
Abstract
A recently developed technique was used to determine the susceptibility to fruit surface pitting of new sweet cherry (Prunus avium L.) cultivars and compare them to an industry standard. The cultivars tested included Bing (industry standard), Cristalina, Lapins, Sandra Rose, Santina, Skeena, Sonata, Staccato, and Sweetheart. Fruit were harvested at commercial maturity, injured, held at 1°C for 2 wk and then rated for fruit surface pitting. The cultivars Lapins, Skeena, Staccato, and Sweetheart had less pitting than Bing. Cristalina and Sonata tended to have similar levels of injury to Bing and Sandra Rose and Santina tended to have more severe pitting than Bing. Key words: Sweet cherries, cultivars, simulated pitting injury
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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 | 0.001 | 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) | 0.000 | 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".