Hot Metal Desulphurization Using Waste Residues from the Aluminum Industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In this paper, the sources, properties and possible applications of waste residues from the aluminum industry as refining agents for the steel industry were investigated. Characterization of the potential fluxing agents was performed using a combination of XRD, XRF, DTA, and TGA. Experiments were carried out to examine the potential of hot metal desulphurization with fluxes made from these residue materials in comparison with those obtained from bauxite. To facilitate this comparative behavior of fluxes derived from different source materials, particular attention was given to the enhancing effects of controlled amounts of sodium oxide in contrast to the deleterious effects associated with the presence of silica and titanium dioxide on the desulphurization process. A major advantage of refining fluxes made from white mud waste products is that they contain significant amounts of sodium oxide and only very small concentrations of the oxides of silicon and titanium.
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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 | 0.000 |
| 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 it