Bibliographic record
Abstract
The four longest floating bridges in the world are located in Seattle, Washington on the North West Coast of the United States of America.At 2.3 km long and 35 m wide, the Evergreen Point Floating Bridge, also known as the State Route (SR) 520 Bridge, is the longest floating bridge in the world.Home to around 3.5 million people, the metropolitan area of Seattle is divided by Lake Washington and the SR 520 transports 115,000 vehicles across Lake Washington on a daily basis.At depths reaching 61 m [1] a suspension bridge would require a bridge tower of over 183 m; thus a floating bridge is necessary.Constructed in 1963, this bridge however is now approaching the end of its lifespan and will be replaced by an even longer and wider floating bridge by 2014.This paper will investigate why the bridge must be replaced, the past and current reasons for selecting a floating bridge to cross Lake Washington, what it takes to make a concrete bridge float, and how the new bridge will vary from the existing bridge. 1
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.054 | 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 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".