Bibliographic record
Abstract
In an experimental orchard, 14 apple cultivars bred in Holovousy and registered in the Czech Republic during 1994-2011 have been evaluated for 12 years in comparison with four standard ones most commonly grown here. Trees were planted on M9 rootstock in the spacing of 4 x 1 m and trained like spindles. Zuzana cv had the most vigorous trees. which was followed by Primadela and Resista. On the contrary, Selena had the smallest canopy, followed by Rubinstep, Vyso?ina and Julia. Regarding disease performance Primadela, Resista, Selena, Starkresa and Vyso?ina were entirely resistant to apple scab (Venturia inaequalis). Another three, Julia, Angold and Produkta were rated as highly tolerant to the disease. The highest levels of tolerance to powdery mildew were recorded on Meteor, Nabella and on the standard cultivar Rubin. Occurrence of fruit rot was very negligible on Starkresa, Benet, Vyso?ina and Meteor. The most productive was Rucla with a mean year harvest equal to 34.4 tons per hectare. In decreasing order, it was followed by Nabella, Resista, Produkta, Primadela, Angold and Vysocina, all of which were better than the standard ones. Regarding fruit size the largest one was Meteor followed by Jonagold, Angold, Benet and Nabella. The cultivar that was first in taste was Rucla, followed by Benet, Rubín, Rubinstep, Starkresa and Meteor.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".