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Record W2314013458 · doi:10.1080/22201181.2016.1154310

The amazing Minivent ventilator

2016· article· en· W2314013458 on OpenAlexaboutno aff
Peter Gordon, L. Howell

Bibliographic record

VenueSouthern African Journal of Anaesthesia and Analgesia · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
FundersUniversity of Cape Town
KeywordsBobbinTidal volumeExpirationRespiratorMedicineAnesthesiaEngineeringElectrical engineeringMaterials scienceRespiratory system

Abstract

fetched live from OpenAlex

In the mid-1960s Dr Anthony Cohen, an anaesthetist in private practice in Johannesburg, developed the Minivent respirator in response to the lack of ventilators that existed at that time in operating theatres in both private and state hospitals. The remarkable, rugged, miniature ventilator had only four components, could fit into an anaesthetist’s pocket and required no electrical power source. The pressure generated by the distension of a reservoir bag by the flow of anaesthetic gases to the patient triggered inspiration and the switch from inspiration to expiration was controlled by a pressure-sensitive magnetically operated bobbin. The device operated as a minute volume divider. Respiratory rate was obtained by counting the clicking noise from the bobbin and, provided there was no leak, tidal volume was easily calculated by dividing the gas flow by the respiratory rate. The device was widely used in numerous countries including South Africa, the United Kingdom, Australia and Canada.

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)0.004
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.003

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 head0.016
GPT teacher head0.198
Teacher spread0.182 · 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
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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