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Record W2791501541 · doi:10.1016/j.jvir.2017.11.024

Quality Improvement Guidelines for Mesenteric Angioplasty and Stent Placement for the Treatment of Chronic Mesenteric Ischemia

2018· article· en· W2791501541 on OpenAlexaff
Anil K. Pillai, Sanjeeva P. Kalva, Steven Hsu, T.G. Walker, James E. Silberzweig, Ganesan Annamalai, Mark O. Baerlocher, Jason Mitchell, Mehran Midia, Boris Nikolic, Sean R. Dariushnia, T.G. Walker, Gunjan Aeron, J.F. Angle, Ronald S. Arellano, Sriharsha Athreya, Stephen Balter, Kevin M. Baskin, Ian Brennan, Olga R. Brook, Daniel B. Brown, Drew M. Caplin, Michael L. Censullo, Abbas Chamsuddin, Christine P. Chao, Mandeep Dagli, Jon Davidson, A. Michael Devane, Eduardo Eyheremendy, Florian J. Fintelmann, Joseph J. Gemmete, Vyacheslav Gendel, Jennifer E. Gould, Tara Graham, John A. Hancock, Mark Hogan, Eric J. Hohenwalter, Bertrand Janne d’Othée, Arshad Khan, Hyun S. Kim, Maureen P. Kohi, Christy Lee, N. Mani, G Martinez-Salazar, J. Kevin McGraw, Philip M. Meyers, Donald L. Miller, Christopher S. Morris, Indravadan Patel, Uei Pua, Ellen Redstone, Anne C. Roberts, Wael E. Saad, Tarun Sabharwal, Marc Sapoval, Brian J. Schiro, Samir S. Shah, Paul B. Shyn, Siddharth A. Padia, Nasir H. Siddiqi, LeAnn S. Stokes, Rajeev Suri, Ulku C. Turba, Aradhana M. Venkatesan, Jeffrey L. Weinstein

Bibliographic record

VenueJournal of Vascular and Interventional Radiology · 2018
Typearticle
Languageen
FieldMedicine
TopicAbdominal vascular conditions and treatments
Canadian institutionsRoyal Victoria Regional Health CentreMcMaster UniversityUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
Fundersnot available
KeywordsMedicineCritical appraisalRelevance (law)Quality (philosophy)Principal (computer security)Medical physicsComputer scienceAlternative medicinePathologyLaw

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 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)0.051
metaresearch head score (Gemma)0.138
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 score0.059
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.138
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0080.007
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0060.004
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.065
GPT teacher head0.390
Teacher spread0.325 · 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

Citations58
Published2018
Admission routes1
Has abstractno

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