PLANTA PILOTO DE PROCESOS SECUENCIALES EN LA REMEDIACION DE EFLUENTES INDUSTRIALES
Bibliographic record
Abstract
In recent years, technologies are being developed to treat acid mine drainage ( AMD ) , rock drainage (ARD ) and other effluents which are causing environmental pollution, both in water and soil . International environmental regulations today are quite demanding , since the current priority is the preservation of the environment. Currently has been developing terminology SBR SECUENTIAL BATCH REACTOR describing a group of variable volume systems for activated sludge treatment , where the processes of sedimentation, aeration and clarification are performed in the same reactor. In the SBR happen sequentially in time different processes of equalization, aeration and clarification. This added to the biomass technology allows treatment of a wide range of metallic and organic compounds . SBR is successfully applied in USA and CANADA hundreds of industrial plants. In this context we construct the pilot effluent treatments , incorporating modern technologies for the remediation of effluents from metallurgical plants , for it had to resort to the techniques of plant design plant, and we used software design teams and prototypes; as well as environmental considerations of clean technologies .
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".