MétaCan
Menu
Back to cohort
Record W2016882383 · doi:10.1186/cc5349

Low sensitivity of measurements of respiratory mechanics in detecting lung edema from high tidal volume mechanical ventilation

2007· article· en· W2016882383 on OpenAlexfundno aff
Nikolaos A. Maniatis, Stylianos E. Orfanos, H Roussos, Apostolos Armaganidis, Αναστασία Κοτανίδου

Bibliographic record

VenueCritical Care · 2007
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsMedicineMechanical ventilationTidal volumeRespiratory physiologySensitivity (control systems)Intensive care medicineRespiratory systemVolume (thermodynamics)Pulmonary edemaVentilation (architecture)LungCardiologyAnesthesiaEmergency medicineInternal medicineMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

High tidal volume mechanical ventilation (HTVMV) leads to pulmonary edema from increased endothelial permeability. The lungs show evidence of inflammation with endothelial adhesion molecule expression, infiltrates of white blood cells and cytokine production. In order to understand the molecular mechanisms responsible for the pathogenesis of ventilator injury, mouse models are beneficial but technically difficult due to the small size of the animal. To study the time course of lung edema formation we compared lung elastance measured by forced oscillations with invasive methods of lung edema detection (for example, wet–dry weight ratio and histology).

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.044
GPT teacher head0.323
Teacher spread0.278 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCritical CareSame topicRespiratory Support and MechanismsFrench-language works237,207