ANALISIS PENERAPAN TOD DI KAWASAN DUKUH ATAS BNI
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
This Research analyzes TOD Implementation in Dukuh Atas BNI Area, Jakarta, which multi mode hub transportation that integrates MRT, KRL, LRT, and Transjakarta. A methode is used to qualitative description with GIS Integration to map land use and transportation network. Research result shows that this area has high connectivity level, supporting mixed principle development with integration house facility, commercial, and public space, however, some challenges like crowds arrangement to rush hour and optimilization pedestrian path also bicyle needs to be improved. TOD implementation in this area have shown essential step in admitting sustainable urban area, however infrastructure empowerment and supporting policy need. Dukuh Atas BNI potentially becomes ideal TOD Model in Indonesia with coordinating good crossing sector
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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