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Record W4390446902 · doi:10.22489/cinc.2023.323

Towards the Development of an in Silico Model for the Zebrafish Action Potential

2023· article· en· W4390446902 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

VenueComputing in cardiology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsZebrafishIn silicoAction (physics)Computer scienceComputational biologyBiologyPhysicsGeneticsGene

Abstract

fetched live from OpenAlex

In the last decades, the use of zebrafish in different fields has significantly grown.This increasing interest is related to its characteristics, which make it very similar to humans in many aspects, especially a similar electrophysiology owing large percentage of orthologues of human genes.Thus, zebrafish has been proposed as a pharmacological and genetic screening model.Developing a numerical AP model seems very important to study pathologies and drug administration to understand the ionic mechanisms involved.Thanks to this knowledge, reducing the number of animals used for experimental studies will also be possible.This work represents the first approach toward the development of a numerical model for the adult zebrafish AP.The developed model uses the TP04 formulation of the action potential for human cardiomyocytes as a base model.Starting from this model, the main currents have been reparametrized to adapt them to the zebrafish while extending the model to account for the T-type calcium current present in the zebrafish and deleting the Ito current, which is not found to be present instead.Moreover, AP recordings from the ventricle of adult zebrafish in isolated hearts were collected to validate the numerical model.Preliminary results showed an AP morphology in good agreement with experimental data and correct restitution curves behaviors.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

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

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 head0.058
GPT teacher head0.355
Teacher spread0.297 · 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