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Record W4321374081 · doi:10.1144/m57-2021-44

NE Canada Rifted Margin Composite Tectono-Sedimentary Element, Baffin Bay, Davis Strait and Labrador Sea

2023· article· en· W4321374081 on OpenAlexaboutno aff
Mansour M. Abdelmalak, Stéphane Polteau, Sverre Planke, Jan Inge Faleide, Nina Lebedeva‐Ivanova, Reidun Myklebust

Bibliographic record

VenueGeological Society London Memoirs · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyPaleontologyRiftSedimentary rockCretaceousContinental marginPaleozoicSedimentary basinBayOceanographyStructural basinTectonics

Abstract

fetched live from OpenAlex

The NE Canada Rifted Margin (NCRM) Composite Tectono-Sedimentary Element (CTSE) developed during a long and complex history that produced two tectono-sedimentary elements (TSEs): (1) the pre-rift TSE of pre-Cretaceous age; and (2) the synrift TSE of Early Cretaceous–Paleocene age. The pre-rift TSE includes the oldest and most poorly known offshore sedimentary accumulations that mainly evolved in a cratonic setting. In contrast, Cretaceous–lower Paleocene sedimentary basins of the synrift TSE are known from several wells, seismic data, outcrops and seabed samples, and their extent and distribution are mapped in most parts of the margin. The synrift TSE is the most prospective part of the margin, and hydrocarbon shows have been documented in some wells and offshore seeps studies. This review provides insights into the Paleozoic–Cenozoic evolution of the NE Canada rifted margin in the Labrador Sea, Davis Strait and Baffin Bay. In this context, we discuss structural inheritance and rift development, and account for confirmed and potential hydrocarbon systems and plays.

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 score0.101
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.198
Teacher spread0.184 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

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