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Lower intercostal space V1 placement to guide conduction system pacing lead implants

2025· article· en· W4409994750 on OpenAlexaff
F.A.Y.A.L.A. VALANI, Vartan Mardigyan, Karol Čurila, Mehrdad Golian, Andrés Klein, Luciano Ayala Valani, Louis-Philip Pelchat, Mouhannad M. Sadek, Félix Ayala-Paredes

Bibliographic record

VenueJournal of Electrocardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsUniversity of OttawaSouthlake Regional Health CenterJewish General HospitalCentre Hospitalier Universitaire de SherbrookeBishop's University
Fundersnot available
KeywordsLead (geology)MedicineGeology

Abstract

fetched live from OpenAlex

The initial criterion to achieve conduction system area pacing (CSP) is the presence of a terminal R wave in lead V1. Different configurations were used to determine that placing V1 in lower right intercostal spaces results in a greater amplitude of the terminal R waves when the CSP lead is placed deep in the mid-septal or antero-septal locations. Easily identified terminal R wave in V1 will be more practical and potentially reduce the number of sites attempted for left bundle branch area pacing (LBBaP), resulting in faster procedures and reducing potential complications such as septal perforation.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.003

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 head0.009
GPT teacher head0.296
Teacher spread0.287 · 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 designObservational
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".

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Citations1
Published2025
Admission routes1
Has abstractno

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