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Record W4401421074 · doi:10.1016/j.cjco.2024.08.002

Paced QRS Interval Duration and Pacing-Induced Cardiomyopathy - Time to Display

2024· article· en· W4401421074 on OpenAlexaff
Arjun K. Aggarwal, Ayana Nanthakumar, Bonnie Daba, Arulalan Veluppillai, Kumaraswamy Nanthakumar, M Burg

Bibliographic record

VenueCJC Open · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsToronto General HospitalUniversity Health Network
FundersBiosense WebsterAbbott Laboratories
KeywordsDuration (music)QRS complexCardiologyCardiomyopathyInternal medicineMedicineHeart failurePhysics

Abstract

fetched live from OpenAlex

Right ventricular pacing percentage (%RVp) and paced QRS interval duration (pQRSd) are recognized as being potent independent predictors for the occurrence of pacing-induced cardiomyopathy (PICM).1 Although the %RVp measurement is part of contemporary cardiac implantable electronic device (CIED) displays, measurement of the pQRSd is not included on trend displays, despite its prognostic significance. Time constraints in device clinics and during remote follow-up do not always allow for serial 12-lead electrocardiogram (ECG) monitoring.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.327
Teacher spread0.302 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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