ON-JR Plantation Bhd
Bibliographic record
Abstract
For the first time we do business plan on Entrepreneurial Studies (ETR) and the business plan that our group will do is "ON-JR Plantation". The basic nature of this business is that it is a Agriculture that is based in Malaysia, located at Kota Belud, Sabah. Our business will be operating at Kg. Tombol - Kota Belud, Ranau Road By-Pass, Sabah. Our land area is 10 acre, then we divided into five field that. Our business plan will commence around the second quarter of 2012. The reasons that we choose to plant onion because this is will be the first shallot production in Sabah. Moreover Sabah is in progress of development and that will create a lot of job opportunities that can attract people come to Sabah. Shallot (Alli um ascalonicum L.) is a form of Alli um cepa L. It differs from the common onion group because it produces a cluster of bulbs from a single planted bulb and is a small stature plant. Shallot, locally known as 'bawang merah' is a very important ingredient in most Malaysia dishes. It is used as food, spice and seasoning. It is often eaten raw, used for pickling, cooking and frying. Shallot plantation is one of much live stock business and a good prospect as a source of income. Shallot is a product with high demand. Other than that Shallot product such as pickled dried or preserved. It is also important condiments used in cooking curries and another spicy food. It is produced on season basic which means it is a stable source of income. Beside shallot that can be selling, we can also sell bulbs. Young bulbs with green leaves are harvested as spring onions for garnishing food and used in salads. These shallots have a highest demand in market.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.837 | 0.634 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".