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Record W4311434606 · doi:10.36227/techrxiv.21699692

ChatterBox- A Real Time Chat Application

2022· preprint· en· W4311434606 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

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsComputer scienceCode (set theory)World Wide WebMultimediaTime-sharingHuman–computer interactionOperating systemProgramming language

Abstract

fetched live from OpenAlex

<p>The chat application is something that allows users to get in touch directly. People can interact using this online application. People can interact using this online application effectively even far apart. To be utilized by many people, this web-based application is supposed to be real-time and multiplatform. Chatterbox is a real-time chat application developed using MERN stack development thus it is easily extendible and developed with recent technologies. Also, it has features like voice calls, video calls, screen sharing, chatting, and much more for users in one application. Particularly the application is more secure and comes with the option of screenshare which other applications mostly don’t have making it handy and easily reliable as well. Also, with further system demands for running higher ends of the project, multiple features can be added to the application due to the extensible code and the application can be extended.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.747
Threshold uncertainty score1.000

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 science0.0020.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.255
Teacher spread0.244 · 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

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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