Bibliographic record
Abstract
In the present study we have performed two-dimensional gravity modelling to evaluate the gravity anomaly generated by hydrate distribution. By varying the thickness of gas hydrate-bearing layer, gravity values were estimated at the seafloor and different levels in the water column. Density estimates for free gas-bearing layers are not readily available in the literature. Hence an approximate density value representing free-gas has been incorporated to model for gas below the hydrates. The results indicate that this density configuration produces a small-magnitude gravity anomaly, which can be detected at the seafloor. The gravity response for gas-hydrate configurations of Blake Ridge and Vancouver Islands is observable only at the seafloor and falls sharply away from the source. As such, gravity observations at the sea surface are devoid of gravity anomalies in these regions. The gravity anomaly falls sharply and vanishes, if the observations are taken 1000 m above the seafloor. In view of this, it is concluded that the ship-borne and satellite gravity observations are devoid of gravity anomaly signature from gas hydrate-bearing layers. Future endeavours with deep-towed, high-resolution gravimeters may prove the utility of gravity studies for gas hydrate exploration. The high resolution data acquired from these observations have to be processed applying proper terrain correction and using techniques such as pattern recognition to separate relevant signal from noise due to small-scale gravity perturbation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".