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Record W2562050646 · doi:10.1515/acss-2015-0014

A Prototype of Description Language for the Two-Hemisphere Model

2015· article· en· W2562050646 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

VenueApplied Computer Systems · 2015
Typearticle
Languageen
FieldComputer Science
TopicModel-Driven Software Engineering Techniques
Canadian institutionsMcGill University
FundersLatvijas Zinātnes Padome
KeywordsComputer scienceProgramming languageModel transformationNotationSyntaxAbstract syntaxDomain (mathematical analysis)Modeling languageDomain-specific languageTransformation (genetics)Model-driven architectureClass diagramSoftware engineeringUnified Modeling LanguageArtificial intelligenceSoftwareLinguistics

Abstract

fetched live from OpenAlex

Abstract Nowadays, it is a modern trend to develop a CASE tool for system modelling with an ability to transform models defined in different notations and also to generate a program code. However development of such a tool often involves experimentation with transformation algorithms that may require changes to the source model structure. Since CASE tools are basically used to represent a model in diagram’s form, implementing experimental changes in a modelling tool can require additional effort. In order to solve this problem, authors propose a way of describing the two-hemisphere model using Domain Specific Language. This paper covers the language’s syntax as well as provides an example of the two-hemisphere model defined with its help.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.565
Threshold uncertainty score0.459

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 science0.0010.000
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 head0.036
GPT teacher head0.252
Teacher spread0.216 · 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