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Record W6939383535 · doi:10.60692/fbey0-yce75

Modelado e implementación computacional de la propagación de las enfermedades de transmisión sexual por autómatas celulares (Cell-DEVS)

2021· article· es· W6939383535 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGreater South Information System · 2021
Typearticle
Languagees
FieldEngineering
TopicArtificial Immune Systems Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsContext (archaeology)Subject (documents)Perspective (graphical)Sexual behavior

Abstract

fetched live from OpenAlex

Modelado e implementación computacional de la propagación de las enfermedades de tranmisión sexual por autómatas celulares (Cell-DEVS) resumen En este trabajo se realizó un modelo computacional a través de los Autómatas Celulares que puede describir la dinámica de cómo se propagan las enfermedades de transmisión de sexual considerando una subclasificación para la población de infectados (curable y no curable).Así mismo, se ha considerado en este trabajo la perspectiva de la epidemiología matemática del modelo matemático SIS de W.O. Kermack y A.G. McKendrick que representa la dinámica de la epidemia, siendo posible así analizar el comportamiento

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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