Thermodynamic assessment of the Ge-Si-O-Cl-H system
Bibliographic record
Abstract
An assessed thermodynamic dataset for the Ge-Si-O-Cl- H system useful for application in the glass fiber industry is presented. The focus of the work is on the germanium-bearing species. Taking into account the available vapor pressure measurements on the Ge-O , Ge-Cl, Ge-Cl-H , and Ge-O-Cl Systems, modifications have been made to the recommended data for the important oxide and halide species. The GeO2-SiO2 and GeCl4-SiCl4 binary systems have been thermodynamically optimized using simple models. The current dataset, when combined with the data from the FactSage™ database for the other required species/phases, can be used to make useful calculations of glass vapor equilibria pertinent to the manufacture of germanium-doped silica glass fibers using vapor deposition methods.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".