A revised lithostratigraphic database of baseline geoscience information derived from seismic shothole drillers' logs, Northwest Territories and northern Yukon
Bibliographic record
Abstract
The seismic shothole drillers' log database provides baseline, shallow (10-50 m) lithostratigraphic geoscience information on surficial and bedrock geology, hydrogeology, permafrost geology, and geohazards. The revised version 2 database is a greatly enlarged compilation of 275 871 individual, augered shothole drillers' log records collected from 1954 to present. Originally published as Open File 5465, and containing 76 000 records, the version 2 database has been bolstered by tremendous Industry support, wherein the archival holdings of 16 companies have been made available for inclusion. Compiled in a Microsoft Access database, the shothole data span the length and breadth of the Mackenzie corridor, Mackenzie Delta, and adjoining petroleum exploration regions of the Northwest Territories and northern Yukon. Data extends across parts of NTS areas 85, 95, 96, 97, 106, 107, 116, and 117 (fifty-eight 1:250 000 map areas in total). The database has been designed in a manner that allows it to be easily viewed, sorted, and queried. A simple GIS that geographically displays the location of all individual shothole points is included; each point can be selected in order to see the full litholog record and accompanying metadata. More advanced, thematic GIS based on different data queries, interpretations and mathematical models, have been, or are in the process of being released as companion publications, including: potential granular aggregate resource assessments, drift isopach models, till isopach models, till facies reconstructions, bedrock outcrop and subcrop maps, geohazard identification, muskeg thickness, massive ground ice occurrence and thickness, extent and depth of permafrost, and reconstructions of bottomfast ice extents in the offshore Mackenzie Delta region. Information rendered in these various GIS, stemming from the data provided in this publication, will benefit a wide variety of users (e.g., industry, government, aboriginal groups, communities, land and water boards, regulators, and scientists), and applications (e.g., resource management, land use planning, environmental assessments, infrastructure development, and seismic exploration).
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".