Bibliographic record
Abstract
An analytical investigation was carried out to investigate the effectiveness of the finite element modelling capabilities of VecTor2 in capturing the nonlinear cyclic response of beam-column subassemblies. The modelling efforts were utilized using the default behavioural or constitutive model options in order to prove that the program successfully captures the necessary response parameters without any modifications to the structure details. The specimens considered covered a wide range of conditions, and included interior and exterior and seismically and non-seismically designed beam-column subassemblies. The beam-column subassemblies were examined with particular attention to the effects of shear deformations in the joint regions and bond-slip effects of the beam longitudinal reinforcement. It was observed that VecTor2 analysis results showed better accuracy in estimating the seismic performance of seismically designed beam-column subassemblies opposed to non-seismically designed ones. Overall, however, the program exhibited good accuracy in predicting the strength, deformation response, energy dissipation, and failure mode of beam-column subassemblies.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".