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Record W3114803663 · doi:10.1130/2017.0048(03)

Lower to Middle Cambrian of the southern Canadian Rockies

2017· book-chapter· en· W3114803663 on OpenAlexaffabout
Paul Johnston, Christopher J. Collom, Patricio Desjardins

Bibliographic record

VenueGeological Society of America eBooks · 2017
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsGeological Survey of CanadaMount Royal University
Fundersnot available
KeywordsGeologySiliciclasticFaciesPaleontologyCarbonateOutcropGeochemistryGeomorphologyStructural basin

Abstract

fetched live from OpenAlex

ABSTRACT Lower to Middle Cambrian strata, well exposed in imbricated westward-dipping thrust sheets of the southern Canadian Rockies, host a range of geologic features from famous fossil lagerstätten to economically important ore deposits. This paper describes six localities in the Front and Central ranges west of Calgary that record tectonic, sedimentologic, and biologic events during deposition of the lower to mid-Sauk Megasequence. At the Mount Yamnuska and Castle Mountain viewpoints, Middle Cambrian platformal carbonate sections are well exposed. These were preceded by thick, siliciclastic-dominated, shallow-marine deposits of the Gog Group, which form a dramatic geologic backdrop to Lake Louise. Farther west, a platform-to-basin facies transition is recorded in the vicinity of Field, British Columbia. Pb-Zn mineralization and dolomitization are evident near or at this facies transition at the Kicking Horse Mine in Yoho National Park, and on Fossil Ridge as seen from the Emerald Lake viewpoint. A hike to the famous Trilobite Beds of Mount Stephen offers opportunity for first-hand examination of the Burgess Shale biota and associated unusual mineralogic and geologic features including anomalously Mg-rich mudstone, carbonate mounds, and apparent syndepositional faulting, dilational cracks, brine seeps, and mud volcanism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.034
GPT teacher head0.191
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations5
Published2017
Admission routes2
Has abstractyes

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