Exploring thermal and solutal features in stagnation point flow of Casson fluid over an exponentially radiative and reactive vertical sheet
Bibliographic record
Abstract
The stagnation point flow of hydromagnetic Casson liquid flow under an exponentially moving vertical sheet has attracted much attention due to its wide applications. The current investigation considers an incompressible hydromagnetic reacting Casson stagnation point flow in a moving exponential plate and permeable medium. The reduced ordinary quasi-linear derivative equations via similarity transformation and the derivative model are solved computationally through fourth-order Runge–Kutta with a shooting scheme and implemented in MAPLE. The momentum, thermic, and mass transfer profiles and the effect of varying flow terms on the flow variables are determined, and the results are illustrated graphically. The investigations revealed that higher Grashof and Casson term augments velocity. The skin friction characteristic decreases when the flow parameter porosity and Grashof number estimations are dropped. Better heat transfer performance is recorded for thermal solid radiation. The mass transfer characteristics factor decreases when the flow parameter estimations are raised. The proposed model convergence is achieved and presented in the table. The old results agreed with the present; this shows that the numerical method is suitable for solving the model.
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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 | 0.000 |
| 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 | 0.001 |
| 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".