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Record W2995588265 · doi:10.1016/j.ejvs.2019.11.025

Corrigendum to ‘Global Vascular Guidelines on the Management of Chronic Limb-Threatening Ischemia’ [European Journal of Vascular & Endovascular Surgery 58/1S (2019) 1–109]

2019· erratum· en· W2995588265 on OpenAlexaff
Michael S. Conte, Andrew W. Bradbury, Philippe Kolh, John V. White, Florian Dick, Robert Fitridge, Joseph L. Mills, Jean‐Baptiste Ricco, Kalkunte R. Suresh, M. Hassan Murad, Victor Aboyans, Murat Aksoy, Vlad-Adrian Alexandrescu, David G. Armstrong, Nobuyoshi Azuma, J. J. F. Belch, Michel Bergoeing, Martin Björck, Nabil Chakfé, Stephen W.K. Cheng, Joseph Dawson, Eike Sebastian Debus, Andrew Dueck, Hans‐Henning Eckstein, Roberto Ferraresi, Raghvinder Pal Singh Gambhir, Mauro Garguilo, Patrick J. Geraghty, Steve Goode, Bruce H. Gray, Wei Guo, Prem Chand Gupta, Robert J. Hinchliffe, Prasad Jetty, Kimihiro Komori, Lawrence A. Lavery, Wei Liang, R. Lookstein, Matthew T. Menard, Sanjay Misra, Tetsuro Miyata, G.L. Moneta, Jose A. Munoa Prado, Alberto Muñoz, Juan E. Paolini, Manesh R. Patel, Frank B. Pomposelli, Richard J. Powell, Peter Robless, Lee C. Rogers, Andres Schanzer, Peter A. Schneider, Spence M. Taylor, Melina Vega de Céniga, Martin Veller, Frank Vermassen, Jinsong Wang, Shenming Wang

Bibliographic record

VenueEuropean Journal of Vascular and Endovascular Surgery · 2019
Typeerratum
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity of OttawaOttawa HospitalHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGangreneRegretIschemiaLimb ischemiaAmputationVascular surgeryCritical limb ischemiaVascular diseaseDorsumSurgeryArterial diseaseInternal medicineAnatomyCardiac surgery

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.024
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.012
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
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 head0.047
GPT teacher head0.261
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2019
Admission routes1
Has abstractno

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