Solidification/Stabilization of Heavy Metals by Magnesium Potassium Phosphate Cement
Bibliographic record
Abstract
Heavy metals, including Pb, Cr, Cd, Zn, Cu and Ni, were solidified/stabilized by magnesium potassium phosphate cement (MKPC). The unconfined compressive strength test shows that the strengths of the solidified bodies containing 10%-40% MKPC all exceeded 0.5 MPa, which have met the requirements of storage and landfilling. The toxicity characteristic leaching procedure (TCLP) test shows that no detectable Pb, Cr and Cd were leached from the solidified body containing 40% MKPC after being cured standardly for 28 days, and the concentrations of heavy metals leached from the solidified body containing 10% MKPC after being cured for only 7 days were still significantly lower than the limits in related Chinese National Standards. The leaching concentrations of heavy metals followed a descending order of Cu＞Zn＞Ni＞Pb＞Cd＞Cr. In the simulated acid rain eluviation test, heavy metals were eluviated in different patterns, and the sequence of releasing amounts was similar to that of leaching concentrations. The experimental results indicate that heavy metals can be satisfactorily solidified by MKPC.
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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 | 0.000 |
| 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".