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Record W4386618176 · doi:10.1002/esp.5702

Structural control of bedrock river alignment and morphology in the Fraser Canyon, British Columbia, Canada

2023· article· en· W4386618176 on OpenAlexafffundabout
Michael A. Curran, Aaron T. Steelquist, Jeff Larimer, Erin G. Seagren, Tingan Li, Derek Heathfield, Brian Menounos, John J. Clague, Michael Church, Jeremy G. Venditti

Bibliographic record

VenueEarth Surface Processes and Landforms · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of British ColumbiaTula FoundationUniversity of Northern British ColumbiaSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaHakai Institute
KeywordsCanyonBedrockGeologyFault (geology)GeomorphologyHydrology (agriculture)SeismologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Many rivers worldwide follow faults because they exploit bedrock damage that occurs in fault zones. However, there has been no quantitative investigation of how closely rivers follow specific faults within a fault zone. Analysis of the Fraser River in southwestern British Columbia reveals the degree of alignment of individual bedrock‐bound canyon reaches with lineaments of the Fraser River Fault. The alignment of the river at the regional scale is controlled by the Fraser River Fault zone, but individual canyons align with subsidiary faults that are visible in elevation data or predicted by the geometry and kinematics of the main fault. We hypothesize canyon reaches that deviate from faults were shifted by large episodic sediment input, creating epigenetic canyons.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.177
Teacher spread0.172 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2023
Admission routes3
Has abstractyes

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