Physical Attributes of Bael (Aegle marmelos L.) Fruit and Suitability for Commercialization and Processing
Bibliographic record
Abstract
The present experiment entitled “Studies on physical attributes of bael (Aegle marmelos L.) fruit suitable for commercialization and processing” was conducted at Horticulture laboratory of the Department of Applied Plant Science during 2011-12. Matured fruits procured from well established bael orchard and investigation was carried out Completely Randomized Block Design with three replications. The observations were recorded on fruit shape, skull colour, pulp colour, fruit weight, skull thickness, fruit length, fruit width, pulp content and seed content. Flattened round fruit shape, greenish skull colour and pale yellow in pulp colour was found in NB-7. Minimum skull thickness 3.10 mm, seed content 2.42 per cent, whereas maximum fruit weight 2.00 kg, fruit length 16.20 cm, fruit width 17.20 cm and pulp content 79.20 per cent was found in cv. Narendra Bael-7. Result indicated that on the basis of physical attributes NB-7 varieties was found best for commercialization and processing.
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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 | 0.000 | 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".