Infrared Imaging of Gas-Hydrate-Bearing Cores: State of the Art and Future Prospects
Why this work is in the frame
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Bibliographic record
Abstract
Modern digital infrared (IR) thermal imaging of recovered sediment cores is a technical development that opens new scientific opportunities for studying gas-hydrate abundance and texture. Data derived from thermal imaging of gas hydrates provide an entirely new and independent proxy for gas-hydrate abundance in marine sediments. The information on gas-hydrate distribution at the core scale can be used to assess gas-hydrate resources and to constrain the processes resulting in formation of gas hydrate. IR imaging has also become an indispensable guide for sample collection of gas-hydrate and pore water samples. Future development of IR imaging techniques and analyses promises automated estimation of gas-hydrate abundance and characterization of textures immediately after acquiring IR scans of cores.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it