Chemostratigraphic Correlation of Horn River Group, Central Mackenzie Corridor, Northwest Territories
Bibliographic record
Abstract
Refinement of the Horn River Group stratigraphic framework (Hare Indian, Ramparts and Canol formations) in the Mackenzie Plain area of the Central Mackenzie Corridor, Northwest Territories (NWT) is fundamental to shale reservoir exploration. Trends in whole rock lithogeochemical data throughout the succession have revised correlation in outcrop and within the subsurface, particularly where the carbonate-dominated Ramparts Formation is absent and organic-rich, fine-grained siliciclastics of both the Canol and Hare Indian formations are visually similar. The main trends used in a chemostratigraphic zonation of the succession include enrichments in uranium, changes in the silica to zirconium ratio, fluctuations in both the terrigenous input profile (a summation of aluminum oxide, iron oxide, potassium oxide, and titanium oxide) and thorium to uranium ratio, enrichment in calcium oxide, and elevation in trace elements such as molybdenum, vanadium, and nickel. These trends also characterize subunits of each formation: the Hare Indian Formation consists of a basal Bluefish Member and upper Bell Creek member (proposed, not yet formalized), the Ramparts Formation often contains an organic rich Carcajou member, and the Canol Formation is differentiated into a basal recessive member, middle resistant member, and upper recessive member.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".