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Record W2911745954

La pantalla digital y sus alteraciones visuales

2019· article· es· W2911745954 on OpenAlexaboutno aff
Aguilera Mosquera, Halderg Fernando

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldSocial Sciences
TopicTechnology in Education and Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Introduccion: Los aparatos electronicos que contienen pantalla digital son aquellos los que transmiten ondas de emision de luz LED, segun alta definicion pero con intensidad que al atravesar la retina afecta simultaneamente la funcion visual, conocido en una nueva denominacion como sindrome visual digital. Objetivo: Identificar el tiempo adecuado frente a la pantalla digital, por los efectos visuales que llegaran a producir, mediante el analisis de articulos cientificos indexados en los ultimos 5 anos, para contribucion hacia el medico de primer nivel de atencion. Metodo: Se aplico el estudio sistematico de revision de articulos cientificos indexados en revistas virtuales publicadas dentro de los ultimos 5 anos, estas revistas o paginas web son: Scielo, PUBMED, COCRHANE, DIALNET, MEDLINE, y, Scopus. Se han identificado cerca de 24 articulos que cumplen con la tematica propuesta conectandolos por la aplicacion de Mendeley, para al ser procesados son debidamente citados con las normas Vancouver. Conclusion: Que el tiempo que se estima sea suficiente para dejar danos que afectan la funcion visual es de 30 horas durante la semana o un promedio de 4 horas al dia. Que dentro de los efectos mas importantes son: cataratas, diplopia, sindrome de ojo enrojecido, tension ocular, fatiga ocular, ojo seco, miopia, hipermetropia y astigmatismo.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.006

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 head0.017
GPT teacher head0.394
Teacher spread0.378 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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