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Record W2314152793 · doi:10.1097/ccm.0000000000000677

Extracorporeal Co2 Removal for Chronic Obstructive Pulmonary Disease

2014· letter· en· W2314152793 on OpenAlexaffabout
François Beloncle, Laurent Brochard

Bibliographic record

VenueCritical Care Medicine · 2014
Typeletter
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePulmonary diseaseResearch centreLibrary scienceFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Keenan Research Centre and Critical Care Department, St Michael's Hospital, Toronto, ON, Canada; and, Département de Réanimation Médicale et Médecine Hyperbare, LUNAM, Université d'Angers, CHU d'Angers, Angers, France Keenan Research Centre and Critical Care Department, St Michael's Hospital; and, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada * See also p. 120. Dr. Brochard consulted for Covidien (research on proportional assist ventilation [PAV]). His institution received grant support from Covidien (research on PAV), General Electric (research on functional residual capacity), and Maquet (research on neurally adjusted ventilatory assist). His institution has patents with and received support for the development of educational presentations from General Electric. Dr. Beloncle received grant support from the University Hospital of Angers.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations13
Published2014
Admission routes2
Has abstractyes

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