Seismic shothole drillers' log-derived thematic GIS, Northwest Territories and northern Yukon: bedrock outcrop and subcrop, geohazards, and muskeg thickness
Bibliographic record
Abstract
This publication provides a collection of geoscience and biological information interpreted from seismic shothole drillers' log records. The shothole records provide point lithostratigraphic observations of muskeg and earth materials from surface to 10-20 m depth. Data are presented as GIS, allowing spatial patterns and distributions to be assessed.Bedrock situated at the top of drillers' log records is mapped as outcrop, while that situated below unconsolidated drift is mapped as subcrop. Identification of bedrock type and situation will aid bedrock mapping and drift exploration, particularly in areas of thick drift cover. It will also assist bedrock-generated landslide hazard assessments, and benefit granular aggregate exploration, as competent bedrock such as limestone could be quarried. Geohazards pertain to those records interpreted to represent hazards to infrastructure development, such as roads and pipelines, as well as future geophysical seismic exploration. The geohazards identified include the presence of ice or water at depth, and occurrences of flowing holes (water), flowing sand, and gas. Muskeg thicknesses and/or the presence of muskeg (thickness undefined) was interpreted from drillers' log records and plotted as thickness-proportional symbols. The available data permits broad trends in muskeg thickness and distribution to be discerned throughout the study area, and highlights areas where thick and extensive muskeg could pose a significant concern to future infrastructure development.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".