MétaCan
Menu
Back to cohort
Record W4399723630 · doi:10.32920/26052649.v1

Improving the Usability and Accessibility of Portable Mechanical Ventilators with the Mobile-Controlled Application Airrya

2024· preprint· en· W4399723630 on OpenAlexaff
Yeqiao Zhang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicEvacuation and Crowd Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsUsabilityComputer scienceMobile deviceHuman–computer interactionEmbedded systemOperating system

Abstract

fetched live from OpenAlex

<p>Usability tests show, many medical ventilators today are hard to use due to their confusing user interface (UI). Because of this, Airrya is designed as a mobile controlled ventilator application to profoundly improve the user experience (UX). We took the proven user experience best practices and merged it with accessible features on mainstream mobile operating systems to create a versatile ventilation experience for patients and caregivers. This paper describes the design thinking process and methodology of the proposed solution. The goal is to create a UI that best fits the needs of the ventilator community. </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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicEvacuation and Crowd DynamicsFrench-language works237,207