SIMULATED EPICARDIAL POTENTIAL MAPS WITH A MEMBRANE-BASED BIDOMAIN MODEL OF THE HUMAN HEART
Bibliographic record
Abstract
québécois de calcul de haute performance, Montréal (Québec), Canada. Computer models of cardiac activation are constantly growing in terms of accuracy and resource usage. The availability of powerful parallel computers has allowed us to create a program that computes intracellular and extracellular potentials in a model of a complete human heart, basing on a model of the ionic currents in the cell membrane and the bidomain model of cardiac tissue. Potentials were computed on a regular finite-difference grid of 50 million nodes, using a forward-Euler approximation for the membrane potential and a BiCGStab linear-system solver with a parallelized incomplete-LU preconditioner to solve for the extracellular potentials. Realistic extracellular signals and epicardial potential distributions were obtained. 1
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".