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Record W1537814478 · doi:10.1007/978-1-59745-002-7

Handbook Of Complex Percutaneous Carotid Intervention

2007· book· en· W1537814478 on OpenAlexaff

Bibliographic record

VenueHumana Press eBooks · 2007
Typebook
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCarotid stentingCarotid endarterectomyPercutaneousStenosisRadiology

Abstract

fetched live from OpenAlex

Handbook on Complex Percutaneous Carotid Interventions Editors: Jacqueline Saw, J. Emilio Exaire, David S. Lee, Jay S. Yadav Section One: Clinical Experience 1. Epidemiology and Significance of Carotid Artery Stenosis Authors: Anthony Fung, MD and Jacqueline Saw, MD 2. Medical Therapy for Carotid Artery Stenosis Author: David S. Lee, MD 3. Carotid Endarterectomy: Techniques and Evidence-Based Medicine Authors: Joel Gagnon, MD and York Hsiang, MD 4. Carotid Angioplasty and Stenting Trials: A Historical Perspective and Evidence-Based Medicine Authors: David S. Lee, MD and Jay S. Yadav, MD 5. Cerebrovascular Anatomy Authors: Ravish Sachar, MD and Samir Kapadia, MD 6. Noninvasive Imaging of the Carotid Artery Authors: J. Emilio Exaire, MD, Mikhael Mazighi, MD, Jacqueline Saw, MD and Alex Abou-Chebl, MD 7. Cerebrovascular angiography Authors: J. Emilio Exaire, MD, Jacqueline Saw, MD and Christopher Bajzer, MD 8. Current Indications for Extracranial Carotid Artery Stenting Authors: Cameron Haery, MD and Deepak L. Bhatt, MD Section Two: Techniques of Carotid and Vertebral Artery Stenting 9. The Approach to Extracranial Carotid Artery Stenting Authors: Jacqueline Saw, MD and Jay S. Yadav, MD 10. Equipments for Extracranial Carotid Artery Stenting Authors: Jacqueline Saw, MD and J. Emilio Exaire, MD 11. Emboli Protection Devices Author: Jacqueline Saw, MD 12. Complications of Carotid Artery Stenting Author: Jacqueline Saw, MD 13. The Approach to Intracranial Carotid Artery Intervention Authors: Ivan P. Casserly, MD and Jay S. Yadav, MD 14. The Approach to Intracranial and Extracranial Vertebral Artery Stenting Authors: J. Emilio Exaire, MD and Jacqueline Saw, MD 15. Endovascular Treatment of Acute Ischemic Stroke Authors: Mikhael Mazighi, MD, Qashim Bashir,MD and Alex Abou-Chebl, MD Section Three: Challenging Case Illustrations and Pearls 16. Case: Left Carotid Artery Stenting with a Challenging Type III Aortic Arch Author: Jacqueline Saw, MD 17. Case: Stenting of a Tortuous Left Internal Carotid Artery Author: J. Emilio Exaire, MD 18. Case: Stenting of a Critical Internal Carotid Artery Stenosis with String Sign Author: Jacqueline Saw, MD 19. Case: Stenting of a Carotid Endarterectomy Patch Restenosis and Aneurysm Author: J. Emilio Exaire, MD 20. Case: Carotid Stenting with Slow Flow and Distal Embolization Author: J. Emilio Exaire, MD 21. Case: Acute Stroke Intervention with a Large Thrombotic Burden Author: Jacqueline Saw, MD 22. Case: Left Internal Carotid Artery Stenting in a Bovine Aortic Arch Author: David S. Lee, MD 23. Case: Right Carotid Artery Stenting Via Right Brachial Artery Approach Author: David S. Lee, MD 24. Case: Ostial Innominate Artery Intervention Author: David S. Lee, MD

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)0.002
metaresearch head score (Gemma)0.013
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: Other · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0910.095

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 head0.054
GPT teacher head0.294
Teacher spread0.240 · 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
GenreOther

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

Citations10
Published2007
Admission routes1
Has abstractyes

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