Bibliographic record
Abstract
This study was conducted to select the promising varieties of white clover(va.) California Ladino, Serninole, Sonja, Milo, Rinendel, Alberta and Sona at Daekwanryong branch(altitude 800m a.s,l.) and Namwon branch(altitude 450m a.s,l.) of National Livestock Research Institute. Leaf color of white clover was light green except for Ladino and Seminole, and leaf width was broad in others except for both varieties. Winter hardness of Seminole was the greatest with 85.2%. In Daekwanryong, dry matter yield of white clover was the highest with 5251kg/ha in Milo of all varieties. Also, dry matter yield of Ladino was the highest with 9405kg in Namwon. In Daekwanryong and Namwon, ADF content of Ladino was lowest with 24.3% and 42.7%, respectively. Also, NDF content of Sonja, Ladino and Rinendel was low when those compared with other varieties. Crude protein content of Seminole in Daekwanryong and Rinendel in Namwon was the highest with 22.2% and 28.4%, respectively. The results of this study indicated that Milo and California Ladino would be the promising varieties of white clover in Daekwanryong and in Namwon, respectively.
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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 | 0.000 | 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 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".