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Record W2565236831 · doi:10.1016/j.hrcr.2016.10.003

Radiation-associated plasmacytoma following catheter ablation for atrial fibrillation

2017· article· en· W2565236831 on OpenAlexaff
Justin Chow, Theresa Trotter, Peter Duggan, Stephen B. Wilton

Bibliographic record

VenueHeartRhythm Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsLibin Cardiovascular Institute of AlbertaOccupational Cancer Research CentreUniversity of Calgary
FundersJanssen Pharmaceuticals
KeywordsMedicineAtrial fibrillationAblationCatheter ablationCardiologyInternal medicineGuidelineCardiac AblationAdverse effectPathology

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) affects over 2 million people in the United States, and this number is expected to rise to over 5 million by the year 2050.1 For those with symptomatic paroxysmal or persistent AF despite attempts at medical therapy, catheter ablation is a guideline-recommended treatment approach.2 AF has become the most common indication for invasive electrophysiology testing and treatment, with procedure volumes in the United States more than tripling between 2000 and 2010.3 Whereas acute and subacute complications of AF ablation are well documented,3 less is known about later-onset adverse events.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.323
Teacher spread0.300 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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

Citations2
Published2017
Admission routes1
Has abstractyes

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