Influence of the Stoichiometric Ratio of Different Chlorination Agents on the Selective Chlorination of Trace Elements from Goethite
Bibliographic record
Abstract
In this paper, an investigation of the selective chlorination of targeted elements from goethite residues is performed.Goethite is an iron precipitated residue which results from the zinc industry, it contains many valuable elements as well as heavy elements.The recycling of these elements is economically and environmentally beneficial.The aims of this investigation are to recover the targeted valuable elements from the goethite, and to explain the fundamentals of the chlorination process.The effects of using different chlorination agents, such as aluminium chloride hexahydrate and magnesium chloride hexahydrate, as well as the influences of using various stoichiometric amounts of these agents, are studied with regard to how effectively the targeted elements are extracted.It was found that the targeted elements can be extracted more effectively using magnesium chloride hexahydrate.
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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 | 0.000 | 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) | 0.000 | 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".