Removing aluminum from a low‐concentration lixivium of weathered crust elution‐deposited rare earth ore with neutralizing hydrolysis
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Aluminum, the main impurity in the lixivium of weathered crust elution deposited rare earth ore, not only results in an increasing consumption of precipitant in the rare earth precipitation process, but also lowers the purity of final rare earth product. Aluminum in the weathered crust elution‐deposited rare earth ore lixivium should be removed. Neutralizing hydrolysis method was employed to remove aluminum from the lixivium. Hexamethylenetetramine was found to be the optimum pH regulator for the removal of aluminum in the low concentration. When used to adjust the pH value of the lixivium to 5.0, aluminum in the lixivium can be effectively removed in the form of aluminum hydroxide precipitation with removal rate of 97.60 %. It shows that hexamethylenetetramine has a good effect on the removing of aluminum ions from the low‐concentration lixivium. Moreover, hexamethylenetetramine in removing aluminum from lixivium has little adverse effect on the RE precipitation process.
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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 it