NATURAL CONVECTION IN A HORIZONTAL ANNULAR POROUS CAVITY SATURATED BY A BINARY MIXTURE
Bibliographic record
Abstract
The Darcy model with the Boussinesq approximation is used to study natural convection in a horizontal annular porous layer filled with a binary fluid under the influence of the Soret effect. Both the inner and the outer cylinders are kept at constant temperature with the inner surface higher than that of the outer. The governing parameters for the problem are the Rayleigh number Ra, the Lewis number Le, the buoyancy ratio φ, the radius ratio of the cavity R, and the normalized porosity ε. Two main convective modes are studied, namely, single- and double-cell convection in each half of the enclosure. Numerical solutions of the full governing equations are obtained for a wide range of the governing parameters. The existence of dual solutions for a range of the buoyancy ratio φ that depends on the other governing parameters has been demonstrated. Also, oscillating flows are obtained on increasing or decreasing φ beyond critical values.
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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 | 0.001 |
| 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".