Kieserite Solubility in the Aqueous FeCl<sub>3</sub> + MgCl<sub>2</sub> + HCl System between (338 and 378) K
Bibliographic record
Abstract
Kieserite (MgSO 4 ·H 2 O) solubility was measured at temperatures between (338 and 378) K, FeCl 3 concentrations of 1.0 mol·kg −1, MgCl 2 concentrations between (1.1 and 3) mol·kg −1, and HCl concentrations between (0.5 and 2.3) mol·kg −1 . These conditions are of interest because of their relevance for processes designed to extract nickel from oxide ores by atmospheric leaching in mixed sulfate−chloride solutions. Experimental data were compared with model predictions generated by use of OLI Software’s mixed solvent electrolyte (MSE) model. Model predictions for MgSO 4 ·H 2 O solubility were found to match experimental results with an average absolute deviation of ± 0.09 mol·kg −1 and an average absolute relative deviation of 11.1 %. The ability of the model to accurately predict solubility trends in solutions not used in the development of model parameters validates 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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".