Geological and geochemical data from Mackenzie corridor. Part XI: New geochemical, magnetic susceptibility, and X-ray diffraction data from the Horn River Group (Devonian) in cores and outcrops south of Norman Wells, Northwest Territories
Bibliographic record
Abstract
This report compiles previously unpublished analytical data from two cores and an outcrop section of the sedimentary rocks of Middle-Upper Devonian age bundled in the Horn River Group in central Mackenzie Valley between Norman Wells and Tulita. This includes a broad range of high-precision elemental geochemical data, carbon and oxygen stable isotope data, mineral composition based on X-ray diffraction data, pyrolysis data providing parameters of fossil organic matter, and magnetic siusceptibility measurements. These data are used in two recent publications. Scientific implications of this study shed light on redox systems in Devonian black-shale basins globally, including signatures and nature of multiple anoxic events, the conditions that were conductive for vigorous stocking and preservation of planktogenic organic matter in many shelfal basins of the world. This line of research aslo explores the greenhouse (warm and ice-free) state of Earth surface in the remote Past and therefore has relevance to predict the ultimate state of the global warming.
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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 | 0.003 | 0.002 |
| 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) | 0.005 | 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".