Separation of cadmium(II) from spent nickel/cadmium battery by emulsion liquid membrane
Bibliographic record
Abstract
Abstract Experiments were conducted to investigate the separation of cadmium(II) from spent nickel/cadmium battery by emulsion liquid membrane. Liquid membrane mainly consisted of a diluent (kerosene), a surfactant (Span 80), a carrier (di(2‐ethylhexyl) phosphoric acid, D2EHPA) and an internal phase (sulfuric acid). Main research effort was focused on the identification of optimal parameters affecting the separation process, such as D2EHPA (4.4 vol%), Span 80 (6.6 vol%), pH in the external phase (3.0), treat ratio (0.4), agitation time (10 min), and sulfuric acid concentration (1500 mol / m 3 ). With the selected emulsion liquid membrane to separate cadmium(II) from the leaching solution of spent nickel/cadmium battery, the fraction extracted of cadmium(II) ions (0.963) was much more than that of nickel(II) ions (0.026). The organic membrane phase after demulsification was re‐mulsification and recycled up to eight times.
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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".