Design and Construction of Looking Back Creek Bridge
Bibliographic record
Abstract
Manitoba Hydro is proposing to develop the Keeyask Generation Project, a 695-megawatt hydroelectric generating station in northern Manitoba. One of the key components of the Keeyask infrastructure project is the design and construction of approximately 25 km of two-lane access all-weather road from the junction of Provincial Route 280 to the proposed Keeyask Generating Station. The construction of the access road will require a clear span bridge crossing at Looking Back Creek. A clear span is preferred at this bridge site to minimize potential environmental impacts and to avoid damaging fish habitat. This bridge is required to carry extremely heavy vehicular loads, equating to about twice the Manitoba Infrastructure and Transportation Provincial Trunk Highway standard design truck weight. The bridge was also required to be designed to accommodate loads from a CAT 740 articulated truck used in hauling rock and aggregate. There are many challenges to the design and construction of this bridge at this remote northern Manitoba site including: design to accommodate heavy vehicular loads, shipping and erecting girders, permafrost protection, and protection of a sensitive environmental site. The construction of the bridge started in March 2012 and was completed and opened to traffic in January 2013. For the covering abstract of this conference see ITRD record number 201310RT334E.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".