Bibliographic record
Abstract
Pada suatu konstruksi diperlukan tanah pondasi yang cukup kuat untuk menahan beban yang nantinya diberikan di atasnya. Pada tanah lunak, konstruksi sangat sulit dilakukan karena tanah lunak karena memiliki daya dukung yang rendah dan penurunan yang cukup besar juga waktu penurunan maksimum yang sangat lama keran permeabilitasnya yang rendah. Maka dari itu, diperlukan sebuah metode untuk dilakukan perbaikan pada tanah jenis ini. Metode perbaikan tanah yang dipakai ialah penimbunan tanah secara bertahap, sehingga layak dan memenuhi persyaratan sebagai lapisan pondasi. Penimbunan bertahap dapat dilakukan dengan memberikan pembebanan berupa tanah yang dirasa cukup baik untuk dijadikan tanah timbunan, untuk memperkuat tanah yang akan ditimbun. Berdasarkan hasil analisis yang dilakukan, dihasilkan nilai kuat geser tanah ( ) yang semakin tinggi disetiap tahapan penimbunan.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".