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
Pada Tahun 2019 dilakukan renovasi simpang presiden dengan pemasangan traffic light, menambah jumlah lajur, dan perubahan geometrik pada lengan jalan Jhoni Anwar. Desain ulang dilakukan dengan pelebaran jalan pada lengan Jhoni Anwar (T) dari 6.5 m menjadi 9 m dan penerapan belok kiri mengikuti Traffic Light (PLT) pada lengan Jhoni Anwar (B). Hasil perhitungan ulang didapatkan nilai DS sebesar 0.83 dengan tingkat pelayanan “D” yaitu arus mendekati tidak stabil, kecepatan masih dikendalikan, Q/C masih dapat ditolerir. Nilai tundaan simpang rata – rata adalah 37,75 det/smp. Panjang antrian lengan simpang Khatib Sulaiman (U) 84 m dan (S) 95 m, lengan simpang Jhoni Anwar (T) 58 m, dan (B) 47 m. Anggaran Biaya yang dibutuhkan untuk perencanaan Traffic Light yaitu sebesar Rp. 328.959.800,-.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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