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Record W3025509548

Estudio de prefactibilidad para la comercialización y exportación de arándano fresco al mercado de Vancouver – Canadá.

2014· dissertation· es· W3025509548 on OpenAlexaboutno aff
Oscar Edinson Sánchez Kakiuchi, Juan Pablo Mendoza Crespo

Bibliographic record

VenueUniversidad Privada del Norte · 2014
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultural scienceGeographyInvestment (military)Product (mathematics)Position (finance)Harvest seasonBusinessEconomyAgricultural economicsEconomicsHorticulturePolitical scienceBiologyMathematicsFinance
DOInot available

Abstract

fetched live from OpenAlex

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%.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.242
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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