RECYCLE EXPERIMENT AND ANALYSIS OF THE WASTE BROUGHT IN THE PROCESS OF REMOVING VANADIUM BY COPPER WIRES IN TITANIUM SPONGE'S PRODUCTION
Bibliographic record
Abstract
The process of removing vanadium from rough TiCl4 is very important in the production of titanium sponge,and one of the technologies which has found wide applications is removing vanadium by copper wires at present.Waste is brought in the process of removing vanadium,and the waste's disposition and recycle are urgent and difficult problems.In this paper,some measures,such as chemical analysis,X-ray diffraction and scanning electron microscopy,etc.have been used to analyze the chemical composition,phase and microcosmic appearance of the waste and some products.Results showed that the main components of the waste are copper and vanadium,and electrolytic copper and vanadium pentoxide would be obtained through the appropriate technology.
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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 | 0.001 |
| 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".