Degradation Characteristics of Cationic Red X-GRL with Gd, La Co-doped PbO2 Electrode
Bibliographic record
Abstract
To enhance the degradation efficiency as purpose, the Gd2O3 and La2O3 were doped in the lead dioxide electrode by the thermal decomposition and electro-deposition technique for the treatment of simulated wastewater containing cationic red X-GRL (X-GRL). The optimized molar ratio of Pb:Gd:La of 200mol:3mol:1mol, and the optimal degradation conditions of current density 50 mA/cm2, 0.1 mol/L Na2SO4, initial quality concentration of X-GRL 100 mg/L, after 2 h degradation, the X-GRL and TOC removal of reached 97.81% and 51.28%, respectively. The efficiency of combustion (ηc) of rare earth co-doped electrode was increased by 0.257 than that of un-doped electrode.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".