A sensitivity analysis for tissue development by varying model parameters and input variables
Bibliographic record
Abstract
Abstract Phenomenological models can help in the study of the relation between mass transport and cell growth in three‐dimensional porous scaffolds, which is one of the main challenges of tissue engineering. Thus, using a model for cell proliferation and glucose diffusion and consumption, the dimensionless parameters and input variables were varied to determinate those which affect the model output the most. The simulations were performed with the software OpenFOAM, and the results were compared through a sensitivity analysis for the parameters. It was observed that the model is more sensitive to the dimensionless parameters related to cell proliferation, death, and nutrient uptake, and that dimensionless initial glucose concentration and scaffold porosity had a higher impact on cell volume fraction and on dimensionless glucose concentration. When compared to data from experimental studies, the computational results showed that the studied model is capable of representing the phenomena involved in tissue development in vitro.
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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 | 0.002 | 0.002 |
| 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".