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Record W4385992926 · doi:10.1002/9781119536475.ch9

Atrial Abnormalities

2021· other· en· W4385992926 on OpenAlexaff
Antoni Bayés de Luna, Miquel Fiol, Antoni Bayés‐Genís, Adrián Baranchuk, Roberto Elosúa, Manuel Martínez‐Sellés

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsCardiologyInternal medicineP waveRepolarizationMedicineLeft atrial enlargementAtrium (architecture)Atrial fibrillationElectrocardiographyElectrophysiologySinus rhythm

Abstract

fetched live from OpenAlex

This chapter examines the electrocardiographic abnormalities seen in atrial depolarization (P wave) caused by atrial enlargement and/or atrial conduction disturbances, including the rare cases of atrial dissociation. Electrocardiogram (ECG) changes due atrial infarction and abnormal atrial repolarization are also discussed. Left atrial enlargement and interatrial blocks present some similar ECG criteria, especially the increase in the duration of P wave. Along the last 10–15 years, to study the P wave has been considered very important to recognize that there are two aspects of the atria that have grant relevance for the diagnosis of P wave abnormalities. The chapter deals with heart block at the atrial level, especially related with the concept of interatrial blocks and briefly comments on blocks preferently located in right atrium or left atrium, the concept of atrial dissociation and the P wave changes due to myocardial infarction.

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)0.001
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: Other
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0430.012

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 head0.076
GPT teacher head0.349
Teacher spread0.273 · 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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