Varietal Performance on Pomological Characters of Different Varieties of Mango (<i>Mangifera indica</i>) at Sarlahi, Nepal
Bibliographic record
Abstract
Pomological characteristics of 10 mango varieties were studied during February-June, 2023.Distinct variation were found among the studied varieties.Significant variation were observed in term of fruit length, fruit width, fruit weight, seed length, seed width, seed weight, seed thickness, epidermal thickness ranging from 7.27 cm to 14.02 cm, 4.97 cm to 7.64 cm, 121 gm to 346 gm, 6.03 cm to 12.23 cm, 2.8 cm to 4.23 cm, 22.7 gm to 37.9 gm, 1.56 cm to 2.16 cm and 0.113 cm to 0.333 cm respectively.Among the studied varieties, Variety Nam Dok Mai has the longest fruit (14.02 cm) and longest seed (12.23 cm).Mallika has largest fruit width (7.64 cm) and largest seed width (4.23 cm).Maximum fruit weight (346 gm) was found in Kalkatiya and Mallika.Maximum seed weight (41 gm) was found in Baramasi.Maximum seed thickness (2.16 cm) was recorded in variety Kalkatiya whereas Bombay has maximum epidermal thickness (0.333 cm).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".