A global dataset of helium isotopic data in tectonically and hydrothermally active geological environments
Bibliographic record
Abstract
He ratio measured at the surface are ascribed to source compositional variability or differences in the efficiency of mantle He transport through the continental crust. Given the high scientific relevance of helium isotopes across a wide range of geoscientific applications, it appears essential to compile existing bibliographic information on their global spatial distribution. Here, we present a dataset of the helium isotopic composition in geofluids from hydrothermal and tectonically active areas. Using two global databases published in 2006 and 2015 as a starting point, we have reviewed the existing international literature to compile a comprehensive database of data published up to 2024. The goal is to provide a resource for investigating potential relationships between helium isotopes with other geological, hydrogeological, and geophysical parameters and to formulate hypotheses regarding the role of geofluids in crustal deformation processes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".