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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 teacher head, 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".