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Record W3199958621 · doi:10.33423/jabe.v22i2.2800

Augmented Reality, Immersed Reality and Mixed Reality as a Business Strategy in Honduran Companies

2020· article· en· W3199958621 on OpenAlexvenueno aff
Roberto Enrique Chang Lópéz

Bibliographic record

VenueJournal of Applied Business and Economics · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsAugmented realityVirtual realityImmersion (mathematics)Mixed realitySocial realityComputer-mediated realityFeelingArtificial realityValue (mathematics)BusinessComputer scienceHuman–computer interactionSociologyPsychologyMathematicsSocial science

Abstract

fetched live from OpenAlex

Augmented reality and immersive virtual reality are new technologies developed that can be used by Honduran companies to create particular experiences in users. The augmented reality that generates an enriched vision of reality, incorporating in the same elements that give added value through information relevant to users from virtual reality (immersive) which provides a feeling of immersion in the reality created by a System or program, placing the user in a totally unreal world, going through the mixed reality that brings together elements of the previous two and which are applied in various areas, both economic and social development, among others that can help to create new Products and services with added value to increase the income of MSMEs in all economic activities of the country in this globalized and digital world.

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 score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.068
GPT teacher head0.236
Teacher spread0.168 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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