Bibliographic record
Abstract
The present iceberg shape characterization ties the above and below water portions of the iceberg in a consistent manner, satisfies hydrostatic considerations, represents measured relationships between waterline length, waterline width, height, draft and mass, and can be used for probabilistic simulations. The approach involves the characterization of three dimensional iceberg shape in terms of the overall average shape and a random component based on the concepts of spatial statistics. The approach has a predictive capability that provides for the generation of a large number of complete iceberg shapes, each with the statistical attributes of measured data. The approach is illustrated through the analysis of two full iceberg profiles collected during the DIGS experiment conducted offshore Labrador in 1985. Many representative iceberg geometries were generated from the statistics of the DIGS icebergs, which were then reoriented and adjusted vertically in the water column to satisfy hydrostatic considerations. Index dimensions were calculated from the generated shapes and their interrelationships were compared with those derived from measured data. The approach yielded realistic iceberg shapes and should be useful for generating iceberg shapes for assessment of risk to Grand Banks installations.
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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) | 0.023 | 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; both teacher heads agree on what is shown here.
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".