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Record W4385578586 · doi:10.1016/j.shj.2023.100215

Editorial: Flattening the Curve

2023· editorial· en· W4385578586 on OpenAlexaboutno aff
Tsuyoshi Kaneko, Connor P. Callahan

Bibliographic record

VenueStructural Heart · 2023
Typeeditorial
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRoss procedureSurgeryRadiologyStenosisAortic valve replacement

Abstract

fetched live from OpenAlex

The Ozaki procedure (aortic valve neocuspidization) was first reported by Dr. Shigeyuki Ozaki in 2011. This procedure involves the recreation of the aortic valve leaflets using autologous pericardium.1 The proposed benefit of this procedure was longer coaptation length and preserved annular mobility leading to a larger orifice area. Midterm results have shown durable outcomes. However, its adaptation has been slow.2 One of the reasons is the complex nature of the procedure, which involves autologous pericardial harvesting, resecting and creating the shape of each leaflet, and suturing to the annulus.

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)0.003
metaresearch head score (Gemma)0.023
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: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0040.001
Science and technology studies0.0020.003
Scholarly communication0.0050.005
Open science0.0040.002
Research integrity0.0130.018
Insufficient payload (model declined to judge)0.0240.018

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 head0.018
GPT teacher head0.318
Teacher spread0.300 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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