Research on Partial Coefficients for Design of Quarter-circular Caisson Breakwater
Bibliographic record
Abstract
季度通报沉箱防波提(QCB ) 是防波提的一种新类型，并且它能被使用在深海。在波浪力量行动下面的 QCB 的稳定性能被提高，并且碎石墩工程能是不到半圆形的防波提在的深海。为了学习波浪，强迫对 QCB 起作用的分发，到为这类防波提发现波浪力量公式，第一在这糊，水平力量的分发特征，防波提上的力量基于物理模型被得到的向下垂直的力量和uplift 挥动斜槽实验并且在波浪的分析上迫使试验性的数据。基于测试由不规则的波浪扮演了的一系列物理模型，一种计算方法，被 Goda 公式修改，被建议在 QCB 上执行波浪力量。第二，有相关变量的可靠性方法被采用分析 QCB，就在波浪力量或时刻之间的高关联而言。在设计领域，可靠性索引和 QCB 的失败概率利用观察波浪数据被获得。最后，因素 Q=0.9 被给在 QCB 的 SWL 上面修改零压力高度，并且挥动力量部分系数 1.34 到 QCB 为的设计表情滑动反，以及 1.67 为打翻反，被介绍。
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".