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Record W1977911188 · doi:10.1051/medsci/201026157

Approche multi-échelle appliqué à la modélisation de l’activité électrique du coeur

2010· review· fr· W1977911188 on OpenAlexaff
Philippe Comtois, Mark Potse, Alain Vinet

Bibliographic record

Venuemédecine/sciences · 2010
Typereview
Languagefr
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsHôpital du Sacré-Cœur de MontréalUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

L’electrocardiogramme (ECG) resulte de la propagation dans le torse des courants electriques generes par le tissu cardiaque. Le potentiel d’action produit par les cardiomyocytes, qui prelude a leur contraction, est la source premiere de ces courants. L’echange de ces courants intra- et extracellulaires permet a l’activation de se propager d’une cellule a l’autre et de provoquer des differences de potentiels sur le torse. La modelisation de l’activite electrique peut donc se faire a plusieurs echelles : de la cellule isolee a l’organisme entier. Quelques exemples illustrent comment la nature du probleme a analyser determine l’echelle, le niveau de complexite minimale a considerer et le type de resultats qui peuvent etre atteints.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.040
GPT teacher head0.320
Teacher spread0.280 · 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 designSimulation or modeling
Domainnot available
GenreReview

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

Citations6
Published2010
Admission routes1
Has abstractyes

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