Evaluación de diferentes reactivos aplicados en la precipitación del oro
Bibliographic record
Abstract
En el presente trabajo de investigación se evalúa 4 diferentes reactivos utilizados en la precipitación del oro desde soluciones, dos de ellos utilizados de forma clásica como son el bisulfito de sodio y el sulfato ferroso, frente a dos especies poco comunes como el azúcar y el almidón. En la parte experimental se mezcló oro de aluvión con material arenoso de río para valorar la eficiencia de los reactivos, la lixiviación del oro se llevó a cabo con agua regia siendo este un agente oxidante particularmente fuerte formado por la mezcla de ácido nítrico y ácido clorhídrico en una proporción de volumen 3:1 respectivamente, en el análisis de datos se aplicó un software de programación estadístico, siendo el azúcar el mayor agente precipitante.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".