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Record W1979070166 · doi:10.1055/s-2005-921956

Percutaneous Therapy for Deep Vein Reflux

2005· article· en· W1979070166 on OpenAlexaff
Dušan Pavčnik, John A. Kaufman, Lindsay Machan, Barry T. Uchida, Frederick S. Keller, Josef Rösch

Bibliographic record

VenueSeminars in Interventional Radiology · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicinePercutaneousVenous ValvesSurgeryBicuspid valveThrombosisVenous thrombosisDeep veinStentVeinBicuspid aortic valveAortic valve

Abstract

fetched live from OpenAlex

At present, there are no widely accepted surgical or percutaneous treatment options for chronic venous insufficiency of the deep venous system. The small intestinal submucosa square stent bicuspid venous valve (BVV) has shown the most promising results of artificial venous valves developed to date. In experimental long-term studies in sheep jugular veins, 88% of implanted valves exhibited good function; 12% had decreased function related to valve tilting, of which only 4% had partial thrombosis. BVVs were also placed in three patients and have remained patent without thrombosis or other complications since 2002. At present, 3 years after BVV placement, symptoms in two patients are decreased. Proper sizing and proper placement of the valves were critical to their function. To eliminate occasional tilting of the original BVV, a second-generation BVV has been developed and tested.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.017
GPT teacher head0.372
Teacher spread0.355 · 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
GenreReview

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

Citations6
Published2005
Admission routes1
Has abstractyes

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