Creating a 3-dimensional transect of the earth’s crust from craton to ocean basin across the N. Appalachian Orogen.
Bibliographic record
Abstract
The relatively straightforward approach of using surfaces to represent the third dimension, rather than to create a true 3-dimensional volume with cubes or voxels that contain x, y, z, and attribute information, makes the computational aspects of the model simpler. Five principal geological/geophysical data sets were combined with a digital elevation model and used to construct 3-dimensional models: migrated seismic reflection profiles; seismic refraction data; gravity models; magnetic models; and a bedrock geological map. The United States Geological Survey with the cooperation of the Geological Survey of Canada is constructing a digital geological/geophysical transect which is part of the Global Geoscience Transect Project of the International Commission on the Lithosphere. One of the best-defined interfaces seen in our data is the MOHO. This boundary was well imaged by both the high angle seismic reflection survey and by the wide angle reflection data from the refraction experiment.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".