Phase transition properties, chemical purity, and solubility of coniferyl alcohol and D‐mannose: Experimental and Cosmo‐RS predictions
Bibliographic record
Abstract
Abstract The main objective of the study was to investigate the phase transition properties (melting temperature and heat of fusion) and chemical purity of coniferyl alcohol and D‐mannose by differential scanning calorimetry (DSC). The measurements have been performed at different heating rates from 1–20 °C/min under atmospheric inert gas. From the DSC analysis, the onset temperature, peak temperature, and the heat of fusion of both the compounds were measured. They were found to increase with an increase in the heating rate. The chemical purity of coniferyl alcohol and D‐mannose were determined based on the van't Hoff equation. The chemical purity of coniferyl alcohol was observed to be 99.54 mol% with a correction factor of 1.44 % at a 15 °C/min heating rate. The corresponding purity values for D‐mannose were 98.98 mol% at a correction factor of 6.76 % and 20 °C/min. The obtained results showed that the chemical purity of both the compounds was found to decrease with an increase in the correction factor. Furthermore, this study also focuses on the solubility of both substances in ionic liquids by applying the continuum solvation model (COSMO‐RS) using DSC measured melting properties as input.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".