The Contribution of Northern US Geodetic Data to the Study of Vertical Deformations of the Crust in Canada
Bibliographic record
Abstract
Introduction: Accurate estimates of the rate of vertical crustal deformations due to Glacial Isostatic Adjustment (GIA) in Canada are needed for many practical and scientific reasons. We used relevelled segments covering the period from1909 to 2003 and historical tide gauge records to determine the map of vertical crustal movements (VCM) for the region. However, due to the lack of data in the central part of Canada, the estimates of postglacial rebound are uncertain in this area. In Eastern and western parts of the Great Lakes, for example, there are not enough Canadian relevelled segments. On the other hand, it is known that the postglacial rebound zero line passes through the Great Lakes and that the precise locationg of the zero line depends highly on the contribution of US tide gauge records. Distribution of Canadian geodetic data is shown in figure 1.
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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 | 0.001 | 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".