New insights on faults in the Peace River Arch region, northwest Alberta, based on existing well-log data and refined trend surface analysis
Bibliographic record
Abstract
This paper presents the results of structural mapping in the Peace River Arch region, obtained by applying a refined trend surface analysis to existing well-log data. Maps generated with the new approach allow for accurate location of formation-top offsets and recognition of faults associated with small, metre-scale offsets. Consequently, new faults were identified in the Mesozoic strata, and faults previously recognized as only offsetting Paleozoic strata were found to extend into the Cretaceous strata but with much smaller formation-top offsets. This provided direct evidence for re-activation of the Dawson Creek Graben Complex (DCGC) during the Cretaceous. An additional structural feature named Clear River Graben was recognized to have affected Permian to Jurassic strata. Relationships among previously interpreted faults were clarified and the structural controls on the DCGC were more accurately evaluated.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".