Estudio de prefactibilidad para la comercialización y exportación de arándano fresco al mercado de Vancouver – Canadá.
Bibliographic record
Abstract
ABSTRACT In this report will be exposed a business plan for marketing and export of Blueberry to Vancouver Canada. This project was the need to meet the high demand for natural products with great benefits to health, so that bilberry is considered a super for its high content of antioxidants, as well as minerals. That is why the Peruvian Blueberry has experienced in the last five years one of the fastest growing crops with the greatest potential in the overseas market. Furthermore, the Peru has competitive advantages over the rest of the world, not only for their land and climatic variety, but also has the added its geographical position, with annual seasons reverse. So we saw an opportunity to blueberries to enter Canada, not only for its regular use throughout the year but also in off-season periods in which descends importantly, the supply of fruit to these markets, with very good prices . Given all the above, this study demonstrated that our product is a fresh blueberry viable alternative export with very good return on investment, taking into account the COK 15.25% resulting the following financial ratios: VANE S/. 1.381.259 and TIRE 34,73%.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".