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Record W4405366480 · doi:10.1144/sp557-2024-110

Lithospheric structure and seismic anisotropy of the northern Appalachian region

2024· article· en· W4405366480 on OpenAlexafffundabout
F. A. Darbyshire

Bibliographic record

VenueGeological Society London Special Publications · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeologyTerraneSeismologySubductionCrustLithospherePaleozoicRiftMantle (geology)TectonicsPaleontology

Abstract

fetched live from OpenAlex

Over the course of more than 30 years, the seismic structure of the Appalachian Orogen of northern New England and Canada has been studied using several active- and passive-source methods. The resulting models shed light on present-day crust and upper-mantle wave speed structure, seismic anisotropy and their relationship to the complex geological history of the region. Notable contributions were made by the Lithoprobe East project in the 1980s/1990s, and by the EarthScope USArray in the 2010s. Crustal studies revealed significant heterogeneity across the northern Appalachians. Variations in upper- and mid-crustal seismic wave speeds correlate with metamorphic grade and composition across the Appalachian domains, and the interaction between the Laurentian margin and accreted terranes varies along strike. Crustal thicknesses typically range from ∼30 to 46 km. Lithospheric thicknesses vary from ∼70 to 120 km beneath Maine and the Canadian Maritimes, preserving orogenic structures including a potential signature of flat-slab subduction. Anisotropic orientations are oblique to orogenic trends in New England, but sub-parallel in the Canadian Appalachians, with spatial variations that suggest a significant contribution from lithospheric deformational fabric associated with Paleozoic orogenesis and later rifting processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.608
Threshold uncertainty score0.789

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.009
GPT teacher head0.190
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes3
Has abstractyes

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