Experimental dataset for effective bending stiffness and load-carrying capacity of CLT-concrete composite floor systems
Bibliographic record
Abstract
This article presents the dataset from experimental investigations on cross-laminated timber (CLT) concrete composite (TCC) floor systems. The data was collected at the University of Northern British Columbia, BC, Canada, for project-specific design decisions for "Limberlost Place", a mass timber building for George Brown College, in Toronto, Canada designed by Fast + Epp, Vancouver, BC, Canada. The TCC systems comprised of 245 mm thick, 7-ply CLT panels with 150 mm concrete topping. A total of 18 small-scale shear connections, and 24 half-scale (4.6 m long) and 9 full-scale (9.2 m long) floors were tested. The dataset provides information on the effective bending stiffness and load-carrying capacity of long span beamless CLT-concrete floor systems. This data will also serve as essential inputs for engineers and researchers in modelling and design processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".