Bibliographic record
Abstract
補強土構造物の設計上の不確実性の1つとして、耐用年数を通した土中での補強材の時間依存変形特性がある。補強材の粘性による時間依存変形特性を把握するために、ポリプロピレン、ポリエステル、高密度ポリエチレンを用いて、34本のクリープ及び応力緩和試験を様々な引張荷重で24時間行い、その後に引張り試験を行い強度を測定した。画像解析により変形を測定した。実験の結果、クリープ変形や応力緩和を経験した後でも、同一の試験条件(ひずみ速度等)の下では補強材の引張強度は低下しておらず、地震時の補強材の設計強度を設定する際にクリープ低減係数を考慮すると補強材の引張強度を過小評価することが分かった。
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.013 |
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".