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Record W2947610797 · doi:10.1097/ccm.0000000000003835

Should Patients With Acute Respiratory Distress Syndrome on Venovenous Extracorporeal Membrane Oxygenation Have Ventilatory Support Reduced to the Lowest Tolerable Settings? Yes

2019· article· en· W2947610797 on OpenAlexaffabout
Bishoy Zakhary, Eddy Fan, Arthur S. Slutsky

Bibliographic record

VenueCritical Care Medicine · 2019
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsSt. Michael's HospitalSinai Health System
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationAcute respiratory distressOxygenationIntensive care medicineExtracorporealAnesthesiaRescue therapyRespiratory distressLungInternal medicine

Abstract

fetched live from OpenAlex

1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, OR. 2Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. 3Division of Respirology, Department of Medicine, University Health Network and Sinai Health System, Toronto, ON, Canada. 4Keenan Research Center, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada. Dr. Zakhary disclosed off-label product use of extracorporeal membrane oxygenation for respiratory failure. Dr. Fan received funding from MC3 Cardiopulmonary and ALung Technologies, and he is supported by a New Investigator Award from the Canadian Institutes of Health Research. Dr. Slutsky received funding from Maquet Critical Care, Novalung, and Baxter. Address requests for reprints to: Bishoy Zakhary, MD, Division of Pulmonary and Critical Care Medicine, Department of Medicine, 3181 SW Sam Jackson Park Rd UHN67, Portland, OR 97239-3098. E-mail: [email protected]

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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.

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

Citations7
Published2019
Admission routes2
Has abstractyes

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