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Record W7093983852

ENJOY: Batidos y Alimentos Funcionales

2021· dissertation· es· W7093983852 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional E-DocUR (Universidad Del Rosario) · 2021
Typedissertation
Languagees
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsRebrandingPopulationQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

El presente proyecto aplicado empresarial tiene como propósito desarrollar el plan de negocio para el emprendimiento ENJOY, este se desarrolla con la finalidad de analizar la viabilidad de constituir una empresa dedicada a la venta de batidos y alimentos funcionales en la ciudad de Bogotá. Actualmente las poblaciones jóvenes de Latinoamérica son más conscientes de los beneficios que trae consigo el ejercicio y la buena alimentación, Enjoy busca alinearse con estas tendencias, ofreciendo productos funcionales con beneficios claros para sus clientes, una experiencia distinta a lo que ofrece el mercado actualmente, además de crear una grata experiencia entorno al consumo de productos agradables al paladar sin dejar de lado la funcionalidad. Se espera concretar el proyecto con una inversión aproximada de noventa millones de pesos colombianos e iniciar su operación entre el año 2021 y 2022, previendo la culminación de la emergencia sanitaria actual, a causa del SARS-COV2 COVID-19. El presente documento busca analizar la mayor cantidad de aspectos relevantes para el tipo de negocio propuesto, reduciendo así significativamente los riesgos implícitos en la creación y desarrollo de cualquier emprendimiento.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.015
GPT teacher head0.263
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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