Study of the Pavement Settlement Standard Induced by Tunnel to Under-traverse Highway in Close Quarter
Bibliographic record
Abstract
现在，表面解决由浅埋葬的隧道导致了到在穿越下面高速公路，主要采用实验价值， 3 厘米，从北京或深圳 metro 获得了，它被认为是控制标准。但是投射到更多，隧道在穿越下面高速公路，我们必须灵活地决定控制标准，它应该基于人行道服务函数和人行道条件。基于在完成人行道服务功能的看法的人行道平均和跑的舒适能力，论文作为一根二次的抛物线建议纵的人行道解决十字节，并且当隧道垂直地是在穿越下面高速公路时，在纵的人行道影响的范围得到最大的解决价值。然后，控制标准被决定。作为 Wenxiang 隧道在下面 -- 在一位旅客奉献了的 Zhengzhou-Xi' 上穿越 Lianhuo 马路铁路为一个例子排队，控制标准的解决被获得，并且我们希望它有到类似的隧道建设的一个方向和引用价值。
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".