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Record W4311217186 · doi:10.36227/techrxiv.21699692.v1

ChatterBox- A Real Time Chat Application

2022· preprint· en· W4311217186 on OpenAlexaff
Nidhi Zala, Jinan Fiaidhi, Vinita Agrawal

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsComputer scienceCode (set theory)World Wide WebMultimediaHuman–computer interactionProgramming language

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.035

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2022
Admission routes1
Has abstractyes

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