wrld_prv (Geologic Provinces of the World)
Bibliographic record
Abstract
This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of the World. Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are generally defined by the 2000 meter bathymetric contour, but where appropriate are defined by the 4000 meter bathymetric contour. In some cases province boundaries are delineated by political boundaries, as in the case of The United States and Canada, because United States petroleum resources were assessed separately by the U.S. Geological Survey. Provinces are classified as either Priority or Boutique. A priority province is one of 76 non-U.S. geologic provinces defined by the U.S. Geological Survey that together contain 95 percent of the world's non-U.S. known petroleum volume. All priority provinces were analyzed for petroleum-resource assessments. A boutique province is a geologic province, other than a priority province, as defined by the U.S. Geological Survey considered for petroleum-resource assessment. Boutique provinces can be chosen for a variety of geologic, political, technical and geographic reasons. Resource-assessments are conducted by research scientists of the U.S Geological Survey's World Petroleum Assessment 2000 by means of a combination of Petroleum System analysis based on available geologic information, and statistical analysis of production and exploration information. Total petroleum systems are defined in provinces considered for assessment analysis. Total petroleum systems are subdivided into Assessment Units. Assessment results from the analysis of Assessment units and total petroleum systems are aggregated and allocated to geologic provinces. Summary results are presented as attributes of this coverage.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.276 | 0.177 |
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".