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Record W4285006549 · doi:10.1130/g50151.1

Xenoliths reveal a hot Moho and thin lithosphere at the Cordillera-craton boundary of western Canada

2022· article· en· W4285006549 on OpenAlexaffabout
Dante Canil, James K. Russell

Bibliographic record

VenueGeology · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsLithosphereGeologyCratonXenolithMantle (geology)Delamination (geology)GeophysicsPlate tectonicsSeismologyLithospheric flexurePetrologyTectonics

Abstract

fetched live from OpenAlex

Abstract Properties of the lithosphere control the transitions in elevation and plate deformation from hot, mobile orogenic belts to cooler, stronger cratons. The sharp, abrupt boundary of the North American Cordillera with the craton in western Canada has been suggested to be a result of recent (<50 Ma) heating and delamination of the lithosphere. To test this, we queried the fine structure in the thermal history of the mantle lithosphere approaching this transition using mantle xenolith thermobarometry. The xenoliths sampled by their host lava within ~20 km of the Cordillera-craton boundary require thinner lithosphere (by 20 km) and a hotter Moho (by 200 °C) compared to those sampled 180 km away. A hot, weak lithosphere at the boundary explains a topographic low that parallels this transition for a large length of the North American Cordillera, possibly from focused heat during edge convection. The cooling pattern of geothermometers applied to the xenoliths also suggests that any delamination event producing thinner lithosphere in the orogen is unlikely to have occurred in the past 50 m.y.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.961

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)0.0400.000

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 head0.006
GPT teacher head0.172
Teacher spread0.166 · 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 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

Citations17
Published2022
Admission routes2
Has abstractyes

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