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Record W4396607201 · doi:10.1016/j.jscai.2024.101473

OR13-2 | No-Implant Interatrial Shunt for Heart Failure With Preserved and Mildly-Reduced Ejection Fraction: Twelve-Month Outcomes from Multi-Center ALLEVIATE Feasibility Studies

2024· article· en· W4396607201 on OpenAlexaff
Binita Shah, James E. Udelson, Colin M. Barker, Gerard Wilkins, Benjamin J. Wilkins, Robert Gooley, Siobahn Lockwood, Brian J. Potter, Christopher Meduri, Peter Fail, Darrell Solet, Kari Feldt, Jacob Kriegel, Tamaz Shaburishvili

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsCanadian Institute of Mining, Metallurgy and Petroleum
FundersBoston Scientific CorporationAstraZenecaAmgen
KeywordsEjection fractionMedicineCardiologyCenter (category theory)Shunt (medical)ImplantInternal medicineHeart failureSurgeryChemistry

Abstract

fetched live from OpenAlex

Interatrial shunt procedures currently under clinical evaluation to treat refractory heart failure require a permanent device implant to maintain patency. The Alleviant device percutaneously excises interatrial septal tissue using a pulse of RF energy and does not require a permanent implant to maintain patency.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.059
GPT teacher head0.332
Teacher spread0.272 · 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
Published2024
Admission routes1
Has abstractyes

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