The Friction Coefficient Investigation during Electrochemical Baromembrane Separation of Model Solutions
Bibliographic record
Abstract
A large number of scientific papers in recent decades have been devoted to the mathematical description of a mass transfer of substances through membranes. The choice of a mathematical model is to be carried out depending on the specific separation process used. This study represents a verification of how the predicted value of the solute flow density obtained using pre-calculated friction coefficients corresponds to real experimental data for electrochemical baromembrane separation of model solutions. The experimental and theoretically calculated values of the Ni (II), Cu (II), and Fe (III) cations flux density through the heterogeneous cellulose acetate membranes MGA-95 and MGA-100 are compared. It is established that the use of the mass transfer friction model is quite effective in predicting the kinetic characteristics of electrochemical membrane separation of solutions using semipermeable membranes. The calculation error in most cases is within one percent.
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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 | 0.001 | 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 | 0.001 | 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".