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Record W2066551495 · doi:10.1029/2002jb002090

Heat flow, heat generation, and crustal temperatures in the northern Canadian Cordillera: Thermal control of tectonics

2003· article· en· W2066551495 on OpenAlexaffabout
T. J. Lewis, R. D. Hyndman, P. Flück

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of VictoriaGeological Survey of Canada
Fundersnot available
KeywordsGeologyLithosphereCrustCratonSubductionTectonicsMantle (geology)Heat generationHeat flowSeismologyHigh heatGeophysicsPetrologyThermal

Abstract

fetched live from OpenAlex

The heat flow in the northern Canadian Cordillera between 59 and 64 N is very high, 105 ± 22 mW/m 2 . The average upper crust heat generation is 4.6 ± 2.4 microW/m 3 , giving a reduced deep heat flow of 59 mW/m 2 , similar to the southern Canadian Cordillera, 49–53 N. Estimated Moho temperatures of 800–1000°C and lithosphere only 50–60 km thick are substantiated by slow upper mantle seismic velocities and by high elevations associated with crust only 32–35 km thick. The new data support the conclusion that all of the North and South America Cordilleras are hot. The Paleoproterozoic Wopmay orogen to the east has a remarkably high heat flow of 90 ± 15 mW/m 2 for such an old and stable region. However, basement samples indicate high heat generation and estimated deep temperatures are intermediate between the Cordillera and the Slave Craton further to the east. Heat flow from the Yellowknife area of the Slave Craton, 53 mW/m 2 , implies low lithosphere temperatures in agreement with kimberlite xenolith P‐T data. The high temperatures in the Cordillera result in a very thin and weak lithosphere and may allow a lower crust detachment. The north and central Cordillera have been inland of the coastal Queen Charlotte transform fault since subduction stopped in the Eocene. Thus some process has maintained high temperatures in the former back arc for more than 40 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)0.001
metaresearch head score (Gemma)0.001
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 score0.208
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.241
Teacher spread0.223 · 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

Citations131
Published2003
Admission routes2
Has abstractyes

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