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Record W4389541282 · doi:10.17118/11143/20729

PFC treatment unit of the liquid ventilator Inolivent-8 for total liquidventilation of extreme prematurity ovine models

2023· article· en· W4389541282 on OpenAlexaffabout
Mouhamed Amin Boudaouara, Philippe Micheau, Sébastien Poncet, Christophe Morin, Étienne Fortin‐Pellerin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsVentilation (architecture)ThermodynamicsPhysics

Abstract

fetched live from OpenAlex

As active care to babies born at 22 weeks of gestation is becoming a reality in Canada.Invasive mechanical ventilation is always required for the survival.The lack of surfactant in their lungs makes it difficult to fill them with air.On the other hand, in total liquid ventilation (TLV), the lungs are filled with a breathable perfluorocarbon liquid (PFC) while the liquid ventilator forces the PFC in and out of the lungs with a pumping system.For this purpose, the research group Inolivent has developed a liquid ventilator, Inolivent-8, composed of 3 units.The control unit controls the ventilator and interacts with the clinician via a graphical user interface.The PFC circulation unit (PCU) is the pumping system using two piston-syringe pumps and four pinch-valves.The PFC treatment unit (PTU) dilutes an air/oxygen bubble mixture in the PFC, removes CO2, and regulates the temperature of PFC.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.194
GPT teacher head0.393
Teacher spread0.199 · 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 designBench or experimental
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
Published2023
Admission routes2
Has abstractyes

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