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Record W1993838821 · doi:10.1093/cvr/cvt340

Calcium-dependent potassium channels in the heart: clarity and confusion

2014· letter· en· W1993838821 on OpenAlexafffund
Stanley Nattel, X. Y. Qi

Bibliographic record

VenueCardiovascular Research · 2014
Typeletter
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersCanadian Institutes of Health Research
KeywordsSK channelCardiac action potentialPotassium channelCalcium-activated potassium channelInternal medicineSudden cardiac deathAtrial fibrillationRepolarizationCardiologyConfusionMedicineNeuroscienceChemistryElectrophysiologyIon channelBiologyPsychologyReceptor

Abstract

fetched live from OpenAlex

This editorial refers to ‘Critical roles of a small conductance Ca2+-activated K+ channel (SK3) in the repolarization process of atrial myocytes’ by X.-D. Zhang et al. , pp. 317–325, this issue and ‘Overexpression of KCNN3 results in sudden cardiac death’ by S. Mahida et al. , doi:10.1093/cvr/cvt262 and ‘Overexpression of KCNN3 results in sudden cardiac death’ by S. Mahida et al ., doi:10.1093/cvr/cvt269. Small-conductance Ca2+-activated K+ (SK) channels are widely expressed throughout the body. After initial dismissal of a functional role for SK channels in the heart,1 a series of elegant studies from the Chiamvimonvat laboratory rekindled interest,2,3 as did subsequent work suggesting that tachypaced rabbit pulmonary veins have enhanced SK channel trafficking to the cell membrane that accelerates repolarization.4 The field really got a boost from GWAS evidence, suggesting that variants in the KCNN3 gene encoding SK isoform 3 (SK3) channels are associated with the risk of atrial fibrillation (AF) in man.5 Questions remain, however, about the functional role that SK currents play in cardiac electrophysiology. Recent studies of SK channels in native tissues have provided conflicting results. Two investigations …

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.347
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations10
Published2014
Admission routes2
Has abstractyes

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