Peer review report for: Gravity currents in oceanic and estuarine systems: A comprehensive review [version 1]
Bibliographic record
Abstract
Global ocean dynamics involve the large-scale flow and circulation of the world’s oceans, which are essential for regulating heat distribution, sequestering carbon, recycling nutrients, and influencing global weather patterns. Of particular interest in this review paper is the interaction between counterflowing currents, which frequently occur in estuaries and deep-sea environments, and have significant implications for oceanic and estuarine dynamics. When counterflowing currents, including but not limited to gravity currents, develop within the same region and encounter each other, these interactions lead to complex flow dynamics characterized by fronts, eddies, and intense turbulence, which in turn initiate vertical nutrient transport and mixing processes. In addition to affecting both regional and global thermohaline circulation, these interactions play an important role in turbulent mixing, sediment dynamics, and biological productivity. By synthesizing existing studies on counterflowing currents interactions, this paper explains the complex processes that control these phenomena and their significance in oceanic and estuarine environments. We highlight relevant gaps in existing knowledge and suggest future research approaches to advance the understanding of these important oceanic processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.128 | 0.078 |
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".