Mobilized Resistances Based on Static, Dynamic, and Numerical Methods at the Jingi Jingi Creek Bridge Replacement Project, Queensland, Australia
Bibliographic record
Abstract
The foundations of a 17- by 10-m span bridge that were used to replace a 145-m-long culvert on the Warrego Highway, west of Brisbane, Australia, have recently been completed. The bridge foundations consisted of 5- by 550-mm octagonal prestressed concrete (PSC) piles at the abutments and pier locations. A total of 90 PSC piles were installed. Prior to installing the production piles, three test piles were driven to nominal refusal per Queensland Department of Transport and Main Roads (QDTMR) guidelines. The test piles were dynamically tested using the Pile Driving Analyzer, and the activated (mobilized) resistances and their distributions were checked against those predicted from static- and finite element–based approaches. During the installation of the production piles, representatives of the piles were equally tested per QDTMR guidelines, and all results from the various methods at different stages of the project were analyzed and compared.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".