Pengaruh Microbially Induced Calcite Precipitation (MICP) terhadap Perilaku Kuat Geser Tanah Terkontaminasi Batubara
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microbially induced calcite precipitation (MICP) adalah teknik perbaikan tanah dengan menggunakan mikroorganisme yang mampu mengubah dan meningkatkan sifat mekanik dan fisik. Dalam penelitian ini, uji geser langsung dengan mengacu pada standard SNI 03-3420-1994 digunakan untuk mengetahui pengaruh pengendapan calcite terhadap perilaku kuat geser tanah terkontaminasi batubara. Bakteri Bacillus subtilis sebanyak 6% ditambahkan ke dalam tanah yang terkontaminasi 5%, 10% dan 15% batubara. Bakteri yang digunakan menggunakan kultur 3 hari dimana berada pada fase stasioner. Hasil penelitian menunjukkan bahwa terjadi peningkatan yang cukup baik terhadap nilai kohesi dan sudut geser dalam sebagai parameter kuat geser setelah masa pemeraman. Stabilisasi MICP pada tanah terkontaminasi 5% batubara meningkatkan kuat geser sebesar 3 kali lipat sedangkan pada tanah terkontaminasi 10% dan 15% batubara terjadi peningkatan kuat geser masing-masing sebesar 7 dan 15 kali lipat dibandingkan dengan tanah asli.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.017 |
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 it