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What is the Atrioventricular Node? Some Clues in Sorting out its Structure‐Function Relationship

2002· article· en· W2096762346 on OpenAlexaff
Jacques Billette

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNODALMedicineNode (physics)SortingAtrioventricular nodeFunction (biology)Dual (grammatical number)Representation (politics)AnatomyCardiologyComputer scienceAlgorithmEvolutionary biologyTachycardiaBiology

Abstract

fetched live from OpenAlex

The anatomic and functional substrate underlying AV nodal rate-dependent and dual pathway properties remains highly controversial. This article focuses on some factors that impair the understanding of the AV nodal structure-function relationship and some clues toward sorting it out. A definition of the AV node that applies to both anatomic and functional studies, an orthogonal topographic representation of nodal structures, and the integration of rate-dependent and dual pathway behavior of the AV node are proposed as primary steps toward a better understanding of the AV nodal structure-function relationship. Further fact-based information is the key to the sorting out of this puzzle.

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.010
Scholarly communication0.0040.013
Open science0.0020.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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
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

Citations21
Published2002
Admission routes1
Has abstractyes

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