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Record W2125619608 · doi:10.1109/vis.2003.10005

KMVQL: a Graphical User Interface for Boolean Query Specification and Query Result Visualization

2003· article· en· W2125619608 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

VenueIEEE Visualization · 2003
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceConstruct (python library)Window (computing)Query languageVisualizationInformation retrievalQuery by ExampleAnd-inverter graphQuery optimizationGraphical user interfaceBoolean conjunctive queryInterface (matter)Data miningData visualizationTheoretical computer scienceWeb search queryBoolean expressionBoolean functionProgramming languageAlgorithmSearch engineWorld Wide Web

Abstract

fetched live from OpenAlex

form of K-Maps. It is composed of four basic components: • data source • attribute value control window • K-Map control window • final visualization Visual Query Language • Specify Boolean queries graphically by selecting cells in the K-Map. • Construct complex hierarchical queries: Previously constructed K-Maps can be stored. The stored K-Maps can be used as control widgets or data source of a new K-Map to construct hierarchical queries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.025
GPT teacher head0.320
Teacher spread0.295 · 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