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Record W3108725473 · doi:10.1177/0310057x20947732

The East–Freeman Automatic Vent: An interesting footnote in the history of mechanical ventilation

2020· article· en· W3108725473 on OpenAlexaboutno aff
Richard Morris, M. G. Cooper

Bibliographic record

VenueAnaesthesia and Intensive Care · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSAFERMechanical ventilatorVentilation (architecture)Mechanical ventilationArtificial ventilationGeorge (robot)AnesthesiaPositive pressure ventilationMechanical engineeringComputer scienceRespiratory failure

Abstract

fetched live from OpenAlex

An example of the East-Freeman Automatic Vent from Oxford was found in the early anaesthesia equipment collection at St George Hospital, Sydney. It weighs less than 200 g and is representative of a group of miniature ventilators that were described in the 1960s, including the Minivent from South Africa and the Microvent from Canada. All relied on a pressure-operated inflating valve that was described in 1966 by Mitchell and Epstein from Oxford. The ventilators were compact, portable and were powered by the gas supply from the anaesthesia machine or other driving source that distended a reservoir bag. The main problem was that they could stick in the inspiratory phase. This led to pressure in the lungs rising towards the driving pressure. There was a risk of barotrauma to the patient if the system was not promptly disconnected. While theyhad provided an alternative to hand bagging, they were superseded, as more sophisticated and safer ventilators became widely available.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.005
Scholarly communication0.0040.009
Open science0.0010.003
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0130.004

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 head0.082
GPT teacher head0.247
Teacher spread0.164 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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