MétaCan
Menu
Back to cohort
Record W3159425092 · doi:10.1097/cce.0000000000000410

Frugal Innovation: Enabling Mechanical Ventilation During Coronavirus Disease 2019 Pandemic in Resource-Limited Settings

2021· article· en· W3159425092 on OpenAlex
Chintan Dave, Paul Cameron, John Basmaji, Gordon Campbell, Edward Buga, Marat Slessarev

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

VenueCritical Care Explorations · 2021
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsWestern University
Fundersnot available
KeywordsStockpileEconomic shortagePandemicResource (disambiguation)Mechanical ventilationCoronavirus disease 2019 (COVID-19)BusinessInterdependenceMedicineComputer scienceDiseaseInfectious disease (medical specialty)Political science

Abstract

fetched live from OpenAlex

ICUs worldwide are facing resource shortages including increased need for provision of invasive mechanical ventilation during the current coronavirus disease 2019 pandemic. Fearing shortage of ventilators, many private companies and public institutions have focused on building new inexpensive, open-source ventilators. However, designing and building new ventilators is not sufficient for addressing invasive mechanical ventilation needs in resource-limited settings. In this commentary, we highlight additional interdependent constraints that should be considered and provide a framework for addressing these constraints to ensure that the increasing stockpile of open-source ventilators are easily deployable and sustainable for use in resource-limited settings.

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)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.184
GPT teacher head0.436
Teacher spread0.252 · 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