Recuperación de minerales aurífero mediante flotación, provenientes del sector la Pangui, distrito minero Chinapintza – Ecuador
Bibliographic record
Abstract
Este trabajo de investigación se divide en tres fases, las mismas que sirven para determinar distintos balances metalúrgicos. La primera fase abarca ensayos de molienda para obtener los tamaños de grano deseados (84µm, 74µm y 67µm), posteriormente se realizan ensayos de flotación con estos tamaños, encontrando como mejor tamaño de grano al de 84µm por el rendimiento de esta recuperación, 76.54%. La segunda fase consta de la variación del pH del medio en el que se desarrolla la flotación (8, 9 y 10), encontrando el mejor resultado en el pH 10 con un rendimiento de 88.19%. La tercera fase se realiza con variaciones en la concentración del colector (75g/ton, 50g/ton y 100g/ton), dando como resultado la mejor recuperación a la flotación con la concentración del colector de 100g/ton debido a su rendimiento, 76.54%.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".