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Record W4205413155 · doi:10.1002/9781119536475.ch12

Ventricular Pre‐excitation

2021· article· en· W4205413155 on OpenAlexaff
Antoni Bayés de Luna, Miquel Fiol, Antoni Bayés‐Genís, Adrián Baranchuk, Roberto Elosúa, Manuel Martínez‐Sellés

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsExcitationCardiologyInternal medicineMedicineTachycardiaParoxysmal tachycardiaPhysics

Abstract

fetched live from OpenAlex

The term “ventricular pre-excitation” implies that the myocardium depolarizes earlier than expected if the stimulus follows the normal pathway through the specific conduction system. In fact, this is not really what happens before excitation (pre-excitation). Instead, it refers to ventricular excitation occurring earlier than expected. Three types of pre-excitation have been defined: Wolff–Parkinson–White pre-excitation (WPW), atypical pre-excitations, and short PR pre-excitation. Patients with WPW pre-excitation can present paroxysmal reentrant tachycardia using an AP (slow–fast type), accounting for 50% of all supraventricular paroxysmal tachycardias. The likelihood that reentrant paroxysmal arrhythmias are generated is lower than in WPW-type pre-excitation. In comparison with WPW-type pre-excitation, fewer cases of reentrant paroxysmal tachyarrhythmias are observed and the risk of sudden death is probably lower, although the occurrence of atrial fibrillation with rapid ventricular response is a potential risk.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.274
Teacher spread0.265 · 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
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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