Critical properties prediction based on a quartic equation of state
Bibliographic record
Abstract
Abstract A quartic equation of state (EOS) [Yun et al., Fluid Phase Equilibr. 2001; 187–188: 275–298] is used for predicting critical properties of pure substances. Parameters in the EOS are rewritten as functions of temperature (T in K), and there are totally eleven substance‐specific constants in the functions for each substance. Data of few experimental points including saturated vapour pressure, saturated liquid molar volume and evaporation enthalpy at some temperatures are required in this study to determine the substance‐specific constants in the EOS, while the knowledge of molecular structure is not necessary. Une équation d'état quartique (Yun et coll., «A new quartic equation of state,» Fluid Phase Equilib 187–188, 275–298 (2001)) est utilisée pour prédire les propriétés critiques des substances pures. Les paramètres de l'équation d'état sont réécrits comme des fonctions de la température (T, en K) et il y a un total de onze constantes propres aux substances dans les fonctions pour chaque substance. Les données de quelques points expérimentaux comprenant la pression de vapeur saturante, le volume molaire de la solution saturée et l'enthalpie d'évaporation à certaines températures sont requises dans cette étude dans le but de déterminer les constantes propres aux substances dans l'équation d'état, alors que la connaissance de la structure moléculaire n'est pas nécessaire. Can. J. Chem. Eng. © 2010 Canadian Society for Chemical Engineering
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".