New digital data base helps to map North America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new effort is underway to compile an upgraded digital magnetic anomaly data base and map for the North American continent by 2002. This program is a joint effort by the Geological Survey of Canada (GSC), the U.S. Geological Survey (USGS), and Consejo de Recursos Minerales de Mexico (CRM). An integrated, readily accessible, modern digital data base of magnetic anomaly data spanning North America will be a powerful tool for evaluating the structure, geologic processes, and tectonic evolution of the continent, and may also be used to help resolve societal and scientific issues that span national boundaries. Maps derived from the digital data base will provide a view of continentalscale trends not available in individual data sets, help link widely separated areas of out‐crop, and unify disparate geologic studies.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it