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Record W7081928084 · doi:10.25675/3.023574

Mantle velocity variations under the northern Canadian Cordillera through body wave tomography

2019· other· en· W7081928084 on OpenAlexaboutno aff

Bibliographic record

VenueColorado State University · 2019
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSeismometerLithosphereUpwellingMantle (geology)VolcanismCratonCrustSeismic tomographySlab

Abstract

fetched live from OpenAlex

The Mackenzie Mountains (MM) in the northern Canadian Cordillera (NCC) are an actively uplifting mountain range and an excellent location to investigate the causes of intra-plate orogeny. The orogen is situated almost ~750 km inboard of the active Pacific plate boundary, and little deformation is occurring between the MM and the Pacific Coast, except within the Coast Ranges. To investigate the causes of this orogeny, the Mackenzie Mountains Earthscope Project (MMEP) deployed 40 broadband seismographs and 4 continuous GPS instruments in a linear array from near the Pacific Coast to the Slave craton. Here we present results of teleseismic body wave tomography in the NCC that were obtained by using data from 37 of these MM stations as well as 67 other stations in the region surrounding the MM. Results show a sharp sub-vertical transition between low velocity in the Cordillera (ΔV -2%) and high velocity in the craton (ΔV +2%) about 100 km southwest of the Mackenzie River. The locations of Miocene to Present volcanism in the region also coincide well with the low velocity zones suggesting the presence of melt and/or anomalous temperatures. Two notable high velocity anomalies are seen beneath the Cordillera. The first is present under the Tintina Fault (ΔV +1.5%) and may be indicative of a lower crustal compositional anomaly. The other is at 600 km depth below the Cordillera (ΔVp +2%) which we interpret as delaminated lithosphere. The delamination possibly resulted from mantle upwelling due to the opening of the slab window ~20 Ma.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.064
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.179
Teacher spread0.168 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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