10.1016/s0967-0653(97)86773-7
Bibliographic record
Abstract
A field experiment was undertaken in Lake Barre, a shallow estuary within the Louisiana coastal zone, in November 1991 with the primary goal of acquiring a better understanding of time-mean flow and sediment transport in a shallow Louisiana bay on the periphery of a deteriorating marsh. A network of four monitoring stations recorded current velocity and water turbidity at various levels within the water column while water level, wave, salinity, and wind speed and direction data were acquired at a single station. Results show a response of the water column and the seabed to winds, waves, and tides during the period of study. Variations in velocity profiles, roughness lengths, and to a lesser extent, friction velocities suggest the existence of at least two distinct flow regimes during the periods of study that encompassed four cold fronts, One, characterized by small roughness and weak vertical velocity shear, occurred near the time of cold front passages when winds were northerly. The other, identified by large and frequently variable roughness and vertical velocity shear distributed uniformly through the water column, was predominately associated with tidal flows. The former was attributed to current ripples while the latter appeared to be related to the activity of benthic organisms. A large positive vertical sediment gradient that appeared during the first cold front was attributed to advection of sediment from an area of rapid degradation upstream. Sediment transport calculations reveal fluxes of sediment from the marsh into the study area during cold front passages, the largest magnitudes associated with the earliest cold fronts. Flux magnitude generally decreased with each succeeding cold front. Quantities of fine-grained sediment moving landward during strong prefrontal events are available for nourishing the marsh and contributes material for upward building of a bayou mouth bar. However, long-term subsidence rates are sufficient to mask the effects of deposition. Because much of the sedimentary material within Lake Barre is of sand-size, the bar is armored against the effects of subsequent storms from either direction.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.989 | 0.990 |
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".