On the investigation of the effect of apparatus configurations on the nucleation mechanisms in a cooling crystallization of sodium chlorate
Bibliographic record
Abstract
Continuous crystallization plays a key role in the drive to deliver consistent crystal properties while minimizing solvent waste and undesired crystals. Plug flow crystallizers such as the continuous oscillatory baffled crystallizer (COBC) have been investigated. Kinetics studies are often carried out in batch OBCs where two types of setup can be utilized: the moving baffle system and the pulsing fluid configuration. The former involves moving a set of orifice baffles up and down the column containing supersaturated solution, while the latter is associated with pulsing the solution at the base of the column with the presence of stationary baffles. Uniform mixing is achieved by the generation and cessation of eddies, and similar degrees of mixing can be controlled and achieved in both devices. In a temperature assisted crystallization of sodium chlorate however, we found that the latter gave more nucleation of the seed‐dissimilar enantiomorph than the former. By constructing and testing a number of hypotheses, we have demonstrated that the effects of external and internal fluid renewal were responsible for such differences in nucleation mechanisms.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".