MétaCan
Menu
Back to cohort
Record W2522107234 · doi:10.1016/j.procs.2016.09.017

A Review of Latest Web Tools and Libraries for State-of-the-art Visualization

2016· review· en· W2522107234 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

VenueProcedia Computer Science · 2016
Typereview
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsAcadia University
Fundersnot available
KeywordsComputer scienceVisualizationWeb applicationWorld Wide WebProcess (computing)SoftwareWeb browserWeb modelingInteractive visualizationHuman–computer interactionMultimediaWeb pageThe InternetOperating system

Abstract

fetched live from OpenAlex

Most of the existing visualization and simulation applications run on the client machine and require an installation process. Browser based interactive visualizer for scientific and medical applications remain an unheard concept despite all advancements in computer and software technology and it remains a fairly difficult process to quickly prototype a visualization on a PC or a smart device. In this paper, we review and employed state-of-the-art web technologies, third-party libraries and frameworks to compare and develop some interactive browser-based, mobile friendly web applications. These latest web technologies have the potential to fulfill the promise of interactive browser based custom visualization applications. We presented and compared some of the latest web based tools available today. We also introduced couple of lightweight and interactive web based visualizer and simulator tools which are under development.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.903
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
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 head0.052
GPT teacher head0.348
Teacher spread0.297 · 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