Effects of Mg<sup>2+</sup>, Ca<sup>2+</sup> AND SO<sub>4</sub><sup>2-</sup> ions on the precipitation kinetics and microstructure of aragonite
Bibliographic record
Abstract
La diffraction des rayons X, la spectroscopie Raman et l'analyse par spectroscopie d'emission optique ont ete utilisees pour etudier l'effet des ions magnesium, calcium et sulfate sur la cinetique de precipitation et la microstructure du carbonate de calcium forme, par la methode de degazage controle, a partir des solutions synthetiques equivalentes a l'eau de mer standard. Pour toutes les experiences, la phase aragonite a ete obtenue. La presence des ions Mg 2+ et SO 4 2- dans la solution augmente le temps de germination et diminue la vitesse de croissance de l'aragonite. Les ions magnesium ont ete inseres dans la structure cristalline de l'aragonite en substituant les ions calcium. Cette substitution depend de la concentration des ions Mg2 + , Ca 2+ et SO 4 2- . L'augmentation de la concentration du calcium mene a un faible taux d'incorporation de Mg 2+ . Les ions sulfates peuvent etre adsorbes sur les surfaces de l'aragonite ou inhibent la substitution du calcium par le magnesium, suivant les concentrations ajoutees.
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.
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 | 0.000 | 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) | 0.002 | 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".