Bibliographic record
Abstract
The Thickwood Boulevard Interchange is being constructed in conjunction with the Highway 63:11 Corridor improvements through Fort McMurray to accommodate extremely high volumes of local and commuter traffic, in addition to overdimensioned vehicles going to the oil sands through this very constrained corridor. The Hwy 63:11 corridor improvement involves a combination of grade widening and new construction of 9.5km of freeway, from 4 to 6 lanes, and the construction of C-D lanes (1 to 3 lanes)from downtown to Confederation Way. When complete there will also be 3 new bridges constructed across the Athabasca River which will provide a total of 10 lanes of traffic. AECOM was retained by Alberta Transportation to provide preliminary engineering, detail design, tender preparation, construction supervision, contract administration and post-construction services for the Thickwood Boulevard Interchange in Fort McMurray. This involves converting the existing at-grade signalized intersection to a trumpet interchange to facilitate the high volume northbound left turn movement which is currently handled by a 3-lane dedicated left turn bay. For the covering abstract of this conference see ITRD record numbre 201211RT334E.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.225 | 0.039 |
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".