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Record W2003425182 · doi:10.1147/sj.432.0384

WebSphere Studio overview

2004· article· en· W2003425182 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

VenueIBM Systems Journal · 2004
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsIBMSoftware engineeringStudioEclipseComputer scienceWeb serviceApplication serverVariety (cybernetics)Web applicationSystems engineeringWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

In this paper we provide an overview of IBM WebSphere Studio, a family of tools for developing distributed applications for J2EE™ servers for state-of-the-art information technology systems. In today's business environment such systems are complex, comprise multiple platforms, and make use of a wide range of technologies and standards. Through a representative development scenario we illustrate the way WebSphere Studio satisfies the challenging requirements for a modern integrated development environment. The scenario covers a variety of technologies and standards, including database access, Web services standards, Enterprise JavaBeans™ implementation, integrated application testing, Web page design, and performance optimization. We also describe the Eclipse Modeling Framework, the open source technology base on which WebSphere Studio is built.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.611

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 communication0.0010.001
Open science0.0010.000
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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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