Tertiary geology of the Takysie Lake and Marilla map areas, central British Columbia
Bibliographic record
Abstract
Takysie Lake (NTS 93 F/13) and Marilla (NTS 93 F/12) map areas are underlain by Mesozoic to Tertiary stratified and intrusive rocks segmented by Jura-Cretaceous and Tertiary faults. Heterogeneous Eocene (hornblende ) biotite quartz alkali-feldspar phyric rhyolitic and rhyodacitic flows, tuff, and volcaniclastic rocks (Ootsa Lake Group) and (olivine-) clinopyroxene-plagioclase-phyric, amygdaloidal, basaltic andesite flows and hyaloclastite (Endako Group) are associated with fault-controlled aphanitic, porphyritic, and phaneritic felsic intrusions. Physiographic expression, ubiquitous olivine content, and content of ultramafic and crustal xenoliths help distinguish Neogene olivine basalt intrusive, flow, and volcaniclastic rocks from closely similar Endako Group rocks. (?)Jurassic and (?)Late Cretaceous, porphyritic and phaneritic, mafic, intermediate, and felsic intrusions locally crosscut a pre-Eocene reverse fault, and are cut by northwest- and northeast-trending Eocene block faults. Takysie Lake (NTS 93 F/13) and Marilla (NTS 93 F/12) map areas are underlain by Mesozoic to Tertiary stratified and intrusive rocks segmented by Jura-Cretaceous and Tertiary faults. Lower to Middle Jurassic Hazelton Group includes heterolithic coarse-grained volcaniclastic rock; lesser, finer grained greywacke and mudstone; and clinopyroxene-phyric, coarse-grained laharic volcanic conglomerate characteristic of the Naglico formation. Jura-Cretaceous siliciclastic rocks, rich in chert and felsic volcanic fragments, are correlated with Bowser Lake or Skeena groups. Hornblende-phyric volcaniclastic rocks of the Cretaceous Kasalka Group are rare.(?)Jurassic and (?)Late Cretaceous, porphyritic and phaneritic, mafic, intermediate and felsic intrusions locally crosscut a pre-Eocene reverse fault, and are cut by northwest- and northeast-trending Eocene block faults.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".