A database for igneous rocks of the Newfoundland Appalachians
Bibliographic record
Abstract
Databases are playing an increasingly pivotal role in the field of Earth Sciences. We present a comprehensive database of igneous rocks from the Newfoundland Appalachians (https://dde.igeodata.org/subject/detail.html?id=67). The database consists of a set of 15,110 high-quality data. Each dataset includes detailed information on geographic location (latitudes and longitudes), geological background, petrology, geochronology, major and trace elements, isotopes, and references. The data were collected from published papers, publicly available databases, geological survey reports, and academic dissertations. The database offers several advantages: (1) A systematic and complementary data model aligned with the knowledge systems of igneous rock. (2) A broad range of high-quality data collected over 50 years, and derived from diverse sources; (3) A platform for efficient searchability and usability. This database will help achieve a wide range of scientific research objectives related to igneous rocks in the Newfoundland Appalachians and the tectonic evolution of the Newfoundland island.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.016 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".