The Cross-Sectional Characteristic and Spring-Neap Variation of Residual Current and Net Volume Transport at the Yeomha Channel
Bibliographic record
Abstract
요 지: 경기만 염하수로에서 시 • 공간적으로 변화하는 총수송량과 잔차류를 산정하고자 소조기와 대조기에 염하 수로의 하류(정선-1), 염하수로 중간 지점(정선-2)에서 13시간 동안 단면 유속을 관측하였다.총수송량은 Eulerian flux 와 Stokes drift의 합인 Lagrange flux로 계산하였고, 잔차류는 최소자승법을 이용하여 구하였다.총수송량과 잔차류 의 계산은 관측 시간별, 수평 • 수직 sigma 좌표계로 변환하여 수행하였다.변환된 sigma 좌표체계는 z-level 좌표 체계와 비교하였을 때 주 방향 유속 오차가 3~5% 내외로 자료 분석에 무리가 없는 것으로 판단되었다.분석결과 단면 잔차류는 정선-1에서는 대조기에 주 수로 방향에서 북향, 수로 양 끝 단에서 남향하였으며, 소조기에는 수직 적으로 표층에서는 창조, 저층에서는 낙조하는 이층흐름 구조를 보였다.반면 정선-2에서는 대조, 소조 모두 남향 (낙조)하였다.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".