Sistemas aquosos bifásicos de polietilenoglicol e sais inorgânicos
Bibliographic record
Abstract
Thermal-statistical models that try to reproduce the behavior of aqueous polymer solutions have been extensively studied over the years. However, the number of articles related to aqueous systems containing polymers and added salts is still very restricted. Across the developed thesis, we work within the Flory-Huggins theory framework to model the formation of aqueous two-phase systems containing long-polymer chains of polyethylene-glycol in mixtures containing monovalent inorganic salts. Within the model, the competition between the hydrogen-bond formation between water molecules and the monomers of the polymer chain, in addition to the ion-dipole interactions between water molecules and the dissociated salt ions, play a key role in shaping equilibrium congurations. Through numerical ts of experimental data for each salt type introduced into the mixture with model predictions for the lowest temperatures for the formation of two phases, so-called Cloud Point Temperature (CPT), we nd a set of four interaction parameters that enables proper representation of the continuous behavior of CPTs as a function of the solutes concentration.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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; both teacher heads agree on what is shown here.
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".