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Record W7065686538

Estudio de factibilidad para la comercialización y exportación de café (Coffea arabica) a Canadá, Vancouver, desde un centro de acopio situado en Manta, Ecuador

2014· dissertation· en· W7065686538 on OpenAlexaboutno aff

Bibliographic record

VenueUSFQ Digital Repository (Universidad San Francisco de Quito) · 2014
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsExportationProfit marginProfit (economics)RevenueInvestment (military)Per capitaInternal rate of returnNet profit
DOInot available

Abstract

fetched live from OpenAlex

This is a feasibility study for the marketing, industrialization and exportation of coffee (Coffea arabica) from Zaruma. It will be transported to Manta to make the labors of grinding, wrapped and packaging; with the purpose to export the product to Vancouver, Canada. The study involves the purchase of 48 bags of 45.5kg, to obtain an output of 6,144 boxes of 340.2 grams per month. The center of collection will be located in the way to Jaramijó, 10 minutes from Manta´s port, which in the future will turn into one of the major port of Ecuador.
\nCanada is a country with a high consumption of coffee; in fact, it is situated in eleventh place in the world. Canada has an annual average of coffee intake about 6.5 kilograms per capita. The project ratifies the unmet demand that the above mentioned country take as this product. The goal will be to obtained excellent quality to satisfy this sophisticated segment. The financial study shows that the project is financially viable, giving an attractive profit and quick return of investment. The financial indicators were an IRR of 45%, an NPV of $368,473.74 and benefic – cost ratio of 2.20, showing profitability. The calculated equilibrium point for this project confirmed the feasibility of it, since the quantity of boxes to sell to obtain neither losses nor earning, does not even reach 30% of the annual production of the product.

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)0.000
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 score0.099
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.005
GPT teacher head0.233
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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