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Record W2068645706 · doi:10.1002/ddr.10038

Ventricular fibrillation, an uncontrolled arrhythmia seeking new targets

2002· article· en· W2068645706 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDrug Development Research · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsCardiome (Canada)University of British Columbia
Fundersnot available
KeywordsAmiodaroneMedicineDrugMyocardial infarctionVentricular fibrillationIntensive care medicineCardiologyAnti-Arrhythmia AgentsAtrial fibrillationPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Ventricular antiarrhythmic drugs in current clinical use leave much to be desired in terms of safety and efficacy. With the exception of beta‐adrenoreceptor blockers, none of the available antiarrhythmic drugs have significantly improved survival after myocardial infarction. Amiodarone has shown marginal benefit but has several safety limitations. As a result, there is a large unmet medical need for a safe and effective drug to treat lethal ventricular arrhythmias. Despite the difficulties in developing such a drug, there are a few research programs dedicated to solving this unmet medical need. These include drugs that are targeted to the pathological substrate responsible for initiating arrhythmias and drugs that block multiple ion channels in a manner similar to amiodarone. A few research programs are directed toward other molecular targets. This article briefly reviews the active research programs in the pharmaceutical industry currently that are pursuing ventricular antiarrhythmic drugs. Drug Dev. Res. 55:45–52, 2002. © 2002 Wiley‐Liss, Inc.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.042
GPT teacher head0.320
Teacher spread0.278 · 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