Soft Sediment Carbonate Vein Networks in the Belt Purcell Rocks of Southeastern BC: A New Mode of Formation
Bibliographic record
Abstract
The Belt Purcell Supergroup rocks extend from the Western United States into Southern British Columbia and Alberta. Soft sediment carbonate vein networks occur within various formations of the Belt Purcell rocks. These vein networks outcrop in various localities, however, this paper is limited to a description of the outcrops of the Kitchener Formation, west of Moyie Lake (Figure 1) in Southeastern British Columbia. These vein networks in the Purcell Range have been named Molar Tooth Structures (MTS) by Smith (1968) and that terminology is adopted here. This paper presents a hypothesis that the formation of MTS is the result of clathrate (gas-hydrate) destabilization. As gas hydrates destabilize, often explosively, they release considerable quantities of CO2 gas and may also release abundant seismic energy. This model does not preclude the formation of MTS in a clathrate-poor environment, but proposes a geological environment that is consistent with both the gas bubble and seismic models of MTS formation. This model is also consistent with postulated Proterozoic atmospheric compositions and the observed absence of MTS in the Phanerozoic.
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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 | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".