Case Study: A High-Rise Mass Timber Building in Vancouver, British Columbia
Bibliographic record
Abstract
The Keith Drive Office building, a 10-story, exposed tall wood structure located in Vancouver, Canada, will serve as landmark building in central Vancouver. The 43-m-tall structure is comprised of nine floors of mass timber gravity and lateral construction over a concrete podium and four levels of below-grade concrete parking. The 2-h fire rated exposed gravity structure consists of cross laminated timber (CLT) floor panels supported on dropped perimeter glulam beams and flush interior steel beams. The seismic force resisting system (SRFS) consists of perimeter timber braced frames and interior balloon framed CLT shearwalls. Tectonus resilient slip friction joint (RSFJ) devices specified at each brace, and both ends of each shear wall, allowing energy dissipation without damage to the structural system. To support the SFRS design, Non-linear time history analysis (NLTHA) was completed as part of a larger peer review. Iterative NLTHA was used to optimize the RSFJ design for the 2% in 50-year design earthquake. NLTHA was also implemented at 130% and 150% of the design UHS to review the collapse risk for an earthquake exceeding the design earthquake.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".