Ice ridges interaction with Confederation Bridge piers, results of detailed video and sonar data analysis
Bibliographic record
Abstract
After eight winters of the extensive monitoring program of the interaction between ice features and the piers of the PEI Confederation Bridge, a detailed video and sonar data analysis of all the events including interactions between first year ice ridges and the bridge piers has been done. This paper introduces the results of this video and sonar data analysis related to the interaction of the underwater part with piers. A statistical study concentrates on the effect of the keel and the consolidated layer geometric properties, such as the keel depth, the keel width and consolidated layer thickness, on the load resulting from the above mentioned interaction. Moreover, the relation between the load on one side with the geometric properties of the keel underwater part and the ice ridge velocity is introduced. The real fullscale observations and results presented in this paper can be taken as a key to the development of an accurate load model.
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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".