Production of Ni-Fe alloy from nickeliferous laterite ore by prereduction-electric furnace smelting separation
Bibliographic record
Abstract
The production of Ni-Fe alloy from nickeliferous laterite ore was studied by rotary hearth furnace prereduction-electric furnace smelting separation.The results show that a SiO2-MgO-CaO-FeO slag style is chosen according to the characteristic of the nickeliferous laterite ore and Ni-Fe alloy with 8.68% Ni(mass fraction),Ni 97.62% recovery and 86.23% Fe is obtained under the conditions of lime dosage 25%,reductant coke powder dosage 3.5%,prereduction temperature 1 150 ℃,prereduction time 30 min,smelting temperature 1 450 ℃,smelting time 15 min,respectively,which can be used as the raw material of production of stainless steel.
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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 | 0.000 |
| 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 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".