Mass transport between a semienclosed basin and the ocean: Maracaibo System
Bibliographic record
Abstract
Field data and three‐dimensional numerical (Estuary and Lake Computer Model) simulations are used to investigate exchange between Lake Maracaibo and the Gulf of Venezuela. This exchange occurs along a dredged shipping lane 100 km long and 14 m deep. It is driven by a density difference between the lake and gulf and modulated at tidal and subtidal timescales by water level fluctuations in the gulf propagating to the lake. At tidal frequencies, exchange is modulated by barotropic forcing and nonlinear baroclinic response, leading to a severance of high‐salinity bottom water into seaward and landward segments. Bottom water in the landward segment is moved lakeward along the shipping lane, where it is mixed vertically and flushed out. Subtidal water level fluctuations in the gulf force barotropic currents along the shipping lane, dominating variability of volume and salt flux at timescales of 1–4 weeks. The barotropic component of simulated salt flux decreases from the gulf to the lake, as depth‐averaged salinity decreases, while simulated baroclinic exchange is only 20% of that predicted by quasi‐steady two‐layer hydraulic theory. These reductions in salt flux are due to intense mixing that occurs throughout the shipping lane.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".