Determining Fluid Compositions in the H<sub>2</sub>O‐NaCl‐CaCl<sub>2</sub> System with Cryogenic Raman Spectroscopy: Application to Natural Fluid Inclusions
Bibliographic record
Abstract
Previous cryogenic Raman spectroscopic analysis of H 2 O‐NaCl‐CaCl 2 solutions has identified the Raman peaks of various hydrates of NaCl and CaCl 2 , and established a linear relationship between Raman band intensity of the hydrates and the composition of the solution (NaCl/(NaCl+CaCl 2 ) molar ratio, or X NaCl ) using synthetic fluids, which created the opportunity to quantitatively determine the solute composition of aqueous fluid inclusions with cryogenic Raman spectroscopy. This paper aims to test the feasibility of this newly established method with natural fluid inclusions. Twenty‐five fluid inclusions in quartz from various occurrences which show a high degree of freezing during the cooling processes were carefully chosen for cryogenic Raman analysis. X NaCl was calculated using their spectra and an equation established in a previous study. These inclusions were then analyzed with the thermal decrepitation‐SEM‐EDS method. The X NaCl values estimated from the two methods show a 1:1 correlation, indicating that the new, non‐destructive cryogenic Raman spectroscopic analysis method can indeed be used for fluid inclusion compositional study.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".