Bibliographic record
Abstract
A wave refraction model has been used to evaluate sediment dispersal patterns along the Bangladesh coast, particularly at the mouth of the Ganges-Brahmaputra river system. While the results are qualitative in nature, they offer new insight into the deposition of sediments in this tide dominated setting. Hindcasted wind-waves under gale force conditions occur about 7 times per year, mostly during the southwest monsoon. These show that incident waves diverge over the subaqueous delta due to the refracting effect of a submarine trough present on the eastern Bengal shelf. The degree of wave divergence, however, is largely dependent on deep water wave direction which varies from a southeast to southwest origin according to the changing monsoon wave field. Energy divergence produced by the Hatia Trough appears to influence certain shoreline morphology, the distribution of intertidal sand bars on both sides of the trough and the accumulation of mud at the head of the trough. Computations of the effect of tidal currents on wave refraction show that flood currents deflect waves more to the east while ebb currents deflect them more to the west. This may induce a counterclockwise sediment transport gyre around the Bengal shelf at the mouth of the Ganges-Brahmaputra rivers. The nearbed orbital velocities obtained from refraction modeling show that their magnitudes are one order higher than the thresholds required to re-suspend the fine bed material present, indicating that waves play an important role in the redistribution of river borne sediments.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.989 | 0.991 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".