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Record W2496049792 · doi:10.1385/1-59259-404-2:163

Ionic Mechanisms of Atrial Fibrillation

2003· book-chapter· en· W2496049792 on OpenAlexaff
J. Christian Hesketh, David Fedida

Bibliographic record

VenueHumana Press eBooks · 2003
Typebook-chapter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of British ColumbiaCardiome (Canada)
Fundersnot available
KeywordsAtrial fibrillationCardiologyMedicineContractilityInternal medicineStroke (engine)Incidence (geometry)ThrombusPopulationMortality rate

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) is the most common cardiac dysrhythmia and involves irregular and extremely rapid activation of the atria (approx 400 beats per min [bpm]; ref. 1). The prevalence of AF increases with age, with an incidence of 0.5% in patients less than 50 yr of age and an incidence of more than 5% in patients greater than 65 yr of age (2,3). AF is associated with an increased risk of death and is an important cause of stroke in the elderly population (2,4). Stroke is more common in the AF population as a result of the high atrial activation rate that compromises contractility and the increased likelihood that thrombus will form in the relatively static pool of atrial blood. Emboli can then break away and travel to the brain.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.000

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 head0.127
GPT teacher head0.320
Teacher spread0.193 · 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.

Study designTheoretical or conceptual
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

Citations4
Published2003
Admission routes1
Has abstractyes

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