PEMETAAN JARINGAN JALAN TERHADAP AKTIVITAS PERDAGANGAN DAN JASA BERBASIS SIG DI KECAMATAN SUKOLILO SURABAYA TIMUR
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
Penggunaan lahan untuk transportasi di daerah penelitian berupa jaringan jalan arteri primer.
 Berdasarkan kemampuan lahan diperlukan analisis tentang pemetaan jaringan jalan terhadap berbagai
 aktivitas manusia dalam memanfaatkan suatu lahan. Hasil penelitian ini memberikan informasi
 pembangunan jalan yang menghubung antar public service dalam satu kecamatan Sukolilo dalam
 mendukung pengembangan kawasan perdagangan dan jasa. Metode yang digunakan untuk pemetaan
 jaringan jalan menggunakan pendekatan Sistem Informasi Geografis dengan metode rubbersheet,
 menganalisis data Peta Rupa Bumi Indonesia serta pengamatan lapangan. Hasil dari penelitian ini
 didapatkan ruas jalan sebagai pelayanan aktivitas pergerakan halnya perdagangan dan jasa.
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 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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