Stabilization of Mineral Suspensions by Guar Gum in Potash Ore Flotation Systems
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Bibliographic record
Abstract
The adsorption of guar gum on illite and dolomite was studied as a function of polymer concentration and ionic strength. The adsorption results were correlated with colloid stability of aqueous suspensions of these two minerals. The adsorption density of guar gum on illite was not affected by the ionic strength of the system. Guar gum adsorption on dolomite was found to strongly decrease at higher electrolyte concentrations. Low concentrations of guar gum brought about flocculation of the minerals while higher dosages led to steric re-dispersion. Results presented here are compared with previously published results for carboxymethyl cellulose (Pawlik et al., J. Colloid Interface Sci. 260, 251-258 (2003)). On a étudié l'adsorption de la gomme de guar sur l'illite et la dolomite en fonction de la concentration en polymères et de la force ionique. Les résultats d'adsorption ont été corrélés à la stabilité colloïdale des suspensions aqueuses de ces deux minéraux. La densité d'adsorption de la gomme de guar sur l'illite n'est pas affectée par la force ionique du système. On a trouvé que l'adsorption de la gomme de guar sur la dolomite diminuait fortement pour les plus fortes concentrations d'électrolyte. De faibles concentrations de gomme de gaur favorisent la floculation des minéraux tandis que des dosages plus élevés mènent à la re-dispersion stérique. Les résultas présentés ici sont comparés à ceux publiés antérieurement pour la carboxyméthyl cellulose (Pawlik et al., J. Colloid Interface Sci. 260, 251-258 (2003)).
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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 | 0.000 |
| 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) | 0.000 | 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 it