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Record W6982442345

Incidencia de la inteligencia artificial generativa en las corporaciones

2024· other· es· W6982442345 on OpenAlexaff

Bibliographic record

VenueEl Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 2024
Typeother
Languagees
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DiafiltrationLiquationDysgeusiaHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

La prueba de vida digital consiste en crear una herramienta que permita demostrar en forma digital y con exactitud que las personas que se encuentran reunidas de manera virtual son personas humanas y no generados por inteligencia artificial con un fin engañoso. Para lograr ello se desarrolló el “ORBE” un sistema que toma una foto del iris de la persona y genera una firma única personal, así el sistema captura las fotos se las envía al celular de la persona para que se genere ahí la firma digital de humanidad, si bien esta en desarrollo el sistema en un futuro muy próximo garantizará la eficacia de las reuniones corporativas descartando los fraudes a partir del uso de IA generativa de personas virtuales.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.006
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0390.003

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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