Chemostratigraphic logging of the Lower Ordovician and Precambrian, Bells Corners borehole calibration facility, Ottawa, Ontario
Bibliographic record
Abstract
Geochemical data were collected from a 120-meter-deep borehole (BC81-2) located at the Geological Survey of Canada's Bells Corners Borehole Calibration Facility in Ottawa, Ontario. This report documents geochemical data collected for the most frequently logged of the six boreholes located at the facility. The geochemical data were collected using a portable X-ray fluorescence (pXRF) spectrometer with a subset of samples collected for modern laboratory based fusion and multi-acid methods to calibrate the pXRF data for improved accuracy. Borehole geochemistry provides a characterization of Precambrian and overlying Ordovician rocks in the Ottawa area that augments the understanding of geophysical properties obtained from the calibration borehole. The combined geochemical and geophysical datasets further define rock characteristics, formational boundaries, as well as alteration zones. The results demonstrate the usefulness of pXRF derived geochemical data and chemostratigraphy of rock cores. The chemostratigraphic data augment data collected with spectral gamma logging tools and support an enhanced interpretation of geological contacts across transitional boundaries and the nature of the matrix mineralogy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".