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Record W2734127506 · doi:10.1016/j.jvir.2017.04.025

Quality Improvement Guidelines for Transarterial Chemoembolization and Embolization of Hepatic Malignancy

2017· article· en· W2734127506 on OpenAlexaff
Ron C. Gaba, R. Peter Lokken, Ryan Hickey, Andrew J. Lipnik, Robert J. Lewandowski, Riad Salem, Daniel B. Brown, T. Gregory Walker, James E. Silberzweig, Mark O. Baerlocher, Ana Echenique, Mehran Midia, Jason Mitchell, Siddharth A. Padia, Suvranu Ganguli, Thomas J. Ward, Jeffrey L. Weinstein, Boris Nikolic, Sean R. Dariushnia

Bibliographic record

VenueJournal of Vascular and Interventional Radiology · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsMcMaster UniversityRoyal Victoria Regional Health Centre
FundersSociety of Interventional Radiology Foundation
KeywordsMedicineTransarterial embolizationEmbolizationRadiologyMalignancyQuality (philosophy)Quality managementPortal vein embolizationGeneral surgerySurgeryHepatectomyInternal medicineOperations managementResection

Abstract

fetched live from OpenAlex

The mission of the Society of Interventional Radiology (SIR) is to improve patient care through image guided therapy. The Society was founded in 1973 and is recognized today as the primary specialty society for physicians who provide minimally invasive image guided therapies. A Quality Improvement (QI) Guideline attempts to provide clinical guidelines on the application of a specific procedure or treatment of a disease process when a significant body of literature is available.

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)0.027
metaresearch head score (Gemma)0.064
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: Methods · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.006
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0040.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.124
GPT teacher head0.373
Teacher spread0.248 · 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
GenreMethods

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

Citations153
Published2017
Admission routes1
Has abstractyes

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