Tidal Flat Morphodynamic Processes of the Yangtze Estuary and Their Engineering Implications
Bibliographic record
Abstract
[1]Barua, D. K., Kuehl, S. A., Miller, R. L. and Moore, W. S., 1994. Suspended sediemnt distribution and residual transport in the coastal ocean off the Gangest-Brahmaputra river mouth, Marine Geologl, 120, 41~61. [2]Bird, E. C. F., 1996. Beach Managemem, Chichester, New York, Birsbane, Toronto, Singapore, John Wiehy and Sons,281. [3]CHEN, J. Y., 1989. Historical developments of the coastline in China, in: CHEN Jiyu, WANG Baocan and YU Zhiying(eds), Developments attd Evolution ofChina's Coast, Shanghai, Shanghai Scientific and Technical Publishers, 1~17. [4]CHEN, X., 1998. Changjiang (Yangtze) River delta, China, Journal of Coastal Research, 14 (3), 838~858. [5]Eisma, D., 1998. Interidal Deposits, Boca Raton, Boston, London, New York, Washington, D. C., CRC Press, 459. [6]Evans, G. and Collins, M. B., 1975. The transportation and deposition of suspended sediment over the intertidal flats of the Wash, in: Hails, J. and Cart, A. (eds), Nearshore Sediment Dynamics and Sedimen tation, Landon.Wiley-lnterscience, 273~304. [7]Fletcher, C. H., Richmond, B. M., Barnes, G. M. and Schroeder, T. A., 1995. Marine Flooding on the coast of Kaua'iduring Hurricane Iniki:Hindcasting inundation components and delineating washover, Journal of Coastal Research, 11 (1), 188~204. [8]French, J. R. and Spencer, T., 1993. Dynamics of sedimentation on a tide-dominated backbarrier salt marsh, Norfolk,U. K., Marine Geology, 110, 315~331. [9]Friedrichs, C. T. and Aubrey, D. G.. 1988. Non-linear tidal distortion in shallow well-mixed estuaries: a synthesis,Estuarine, Coastal and Shelf Science. 27,521~545. [10]Galloway. R. W., 1985. Northern Territory, in: Bird, E. C. F. and Schwartz, M. L. (eds): The Worlds Coastlin e, New York, Van Nostrand Reinhold, 949~956. [11]GSCCI (Group of Shanghai Coastal Comprehensive Investigation), 1988. Report of Shanghai Coastal Comprehensive In vestigation, Shanghai, Shanghai Scientific and Technological Press, 390. (in Chinese) [12]GS
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".