Determination and Modeling of the Solubility of Na<sub>2</sub>SiO<sub>3</sub>·9H<sub>2</sub>O in the NaCl–KCl–H<sub>2</sub>O System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The solubilities of sodium metasilicate nonahydrate (Na 2 SiO 3 ·9H 2 O) in the NaCl–H 2 O, KCl–H 2 O, and NaCl–KCl–H 2 O systems were determined at the temperature range from (288.15 to 308.15) K using a dynamic method. The results show that the solubility of Na 2 SiO 3 ·9H 2 O decreases first and then levels off with increasing concentration of NaCl from (0.17 to 4.50) mol·kg –1, whereas the solubility in the Na 2 SiO 3 ·9H 2 O(s)-saturated KCl solution increases slightly with the addition of KCl in the concentration range from (0.20 to 3.10) mol·kg –1 . The Na 2 SiO 3 ·9H 2 O solubilities in all cases investigated were found to increase with the temperature increment. A new chemical model for the solubility has been established by the regression of the experimental solubilities data in the NaCl–H 2 O system to obtain the parameters of the Bromley–Zemaitis model. These newly obtained model parameters were applied to well predict the Na 2 SiO 3 ·9H 2 O solubility in two other systems, namely, the KCl–H 2 O and the NaCl–KCl–H 2 O systems, without parametrization with an average relative deviation of 1.4 % and 4.1 %, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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