Bibliographic record
Abstract
This article describes a New Jersey Department of Transportation (NJDOT) project to replace the 1918 Doremus Avenue Bridge in Newark. The project, which features load and resistance factor design (LRFD) and smart bridge technology, has become a prototype for future bridge construction for NJDOT. The deteriorated 1,275 ft bridge spans 33 railroad tracks. The project involved replacing 18 single-span through-girder units with a new 9-span bridge using three 3-span continuous units. An extensive study phase and preliminary design phase for the project lasted four years. Between the preliminary and final design phases, the NJDOT adopted the AASHTO LRFD code, which saved approximately $1.6 million in construction costs compared to the more conservative load factor design method. The Doremus Street Bridge also served as a test site for research on smart bridge technology. Instrumentation was installed in one 3-span unit of the bridge to assess the actual stresses induced into the structure. Real-time information will be collected and analyzed to compare and assess the actual stresses under routine dead and live loading conditions compared with the anticipated behavior of the bridge under the new LRFD code. Major project challenges, including the need to blend in with the historical railroad corridor, the relocation of utilities and environmental impact minimization, are also discussed.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".