A new impact panel to study bergy bit/ship collisions
Bibliographic record
Abstract
A new design has been generated for an impact panel that is intended for use in a second bergy bit / ship collision field study. The design incorporates new technology to measure impact loads and pressure distribution at fine spatial resolution. The panel consists of 6 large sensing modules. Each module is a solid acrylic block with dimensions 1m x 1m x 0.46 m, giving the impact panel a total sensing area of 6 m². Each module sits on four flat-jack type load cells. All 6 modules are housed in a 3m x 2m rigid steel structure that is welded to the hull of the vessel at the bow center. The top surface of each module is covered with a new pressure-sensing mechano-optical technology capable of measuring pressure with an effective unit sensing area of about 1.3 cm x 1.3 cm. Data from the sensing modules are recorded by cameras operating at a capture rate of 250 images/s that are situated at the back end of each sensing module. A secondary means of measuring pressure at an array of locations on each module surface consists of strain gauges imbedded in the acrylic close to the impacting surface. The panel is intended for use within the next few years in a full-scale study of ship / bergy bit collisions with impact loads in the 0 - 20 MN range.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".