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Record W2609169005 · doi:10.1016/j.jtcvs.2017.03.149

New anticoagulant coatings and hemostasis assessment tools to avoid complications with pediatric left ventricular assist devices

2017· editorial· en· W2609169005 on OpenAlexaboutno aff
Daniel C. Leslie, Anna Waterhouse, Donald E. Ingber

Bibliographic record

VenueJournal of Thoracic and Cardiovascular Surgery · 2017
Typeeditorial
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVentricular assist deviceAntithromboticExtracorporeal membrane oxygenationAdverse effectThrombosisHemostasisInternal medicineIntensive care medicineSurgeryHeart failure

Abstract

fetched live from OpenAlex

The only pediatric left ventricular assist device (pLVAD) specifically approved for use in children by the Food and Drug Administration is the EXCOR Pediatric VAD (Berlin Heart GmbH, Berlin, Germany). The EXCOR VAD gained approval on the basis of a clinical study in 2012 demonstrating significant survival benefit relative to extracorporeal membrane oxygenation in patents receiving it as a bridge to transplant.1 The median survival time was longer than 144 days for the pLVAD, whereas it was only 10 days in the matched extracorporeal membrane oxygenation cohort.

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)0.006
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0050.007
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 head0.022
GPT teacher head0.281
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2017
Admission routes1
Has abstractyes

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