Combined impact of variable internal heat source and variable viscosity on the onset of convective motion in a porous layer
Bibliographic record
Abstract
The qualitative effect of variable internal heat source and temperature dependence of fluid viscosity on the onset of convection in a horizontal fluid saturated porous layer is investigated using linear stability analysis. The temperature-dependence of viscosity is considered to be exponential. A parametric study is performed out by varying the following parameters: viscosity parameter \((\mathrm{B})\) and internal heat source parameter \((N s)\). We addressed four cases of variance in the internal heat source : (i) \(N(z)=z\), (ii) \(N(z)=z^2\), (iii) \(N(z)=z^3\) and (iv) \(N(z)=e^z\). Results indicate that for both parameters of the factor viscosity and heat source variance are to delay the beginning of convective moment. It seen that the system is to be more unstable for case (iii), while more stable for case (iv).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".