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Record W2809197082 · doi:10.36829/63cts.v4i2.527

Algoritmos estratégicos para analizar código WSDL de diversas plataformas

2017· article· es· W2809197082 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

VenueCiencia Tecnologí­a y Salud · 2017
Typearticle
Languagees
FieldComputer Science
TopicEngineering and Information Technology
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsHumanitiesComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

El lenguaje de descripción de servicios web por sus siglas en inglés WSDL, es un estándar en el que se especifica entre otras cosas los tipos de datos aceptados y retornados por cada método del servicio. El problema radica en que cada plataforma de desarrollo, genera un WSDL con características muy particulares, lo que impide la comunicación entre servicios creados en plataformas diferentes. En este trabajo se desarrolló una herramienta basada en el patrón de diseño Strategy mediante el cual se analiza el código WSDL de diversas plataformas. El presente artículo corresponde a la primera etapa donde se implementaron algoritmos analizadores para documentos WSDL creados con el IDE de desarrollo NetBeans y con utilerías Axis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0050.001
Research integrity0.0010.001
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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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