Bibliographic record
Abstract
A series of genotype selection and performance evaluation experiments on turnip were conducted at Horticulture Research Division (HRD), Khumaltar, Agriculture Research Station (ARS) Dailekh, Agriculture Research Station (ARS) Pakhribas and farmers’ fields between 2010 and 2014 with an aim to identify suitable variety for mid-hills of Nepal. The local genotype from Kathmandu Valley was used as the base material for the selection of genotype HRDTUR001. The performance of selected genotype was evaluated for size, colour, taste, yield and other characters using Purple Top a released variety as the standard check. The on station results revealed that genotype HRDTUR001 was found promising because of attractive root colour, excellent root size (224.45g) and better taste for vegetable purpose. Based on the biological and socio-economic feedback received from the on farm trials genotype HRDTUR001 has been recommended to release as a variety for cultivation in the mid hills of Nepal.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".