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Record W2982095623 · doi:10.4095/224313

Late Quaternary geological history of the SW Grand Banks Slope and Rise off Green Bank and Whale Bank: implications for geohazard assessment

2007· report· en· W2982095623 on OpenAlexaff
Shannon Ledger-Piercey, David J. W. Piper

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeohazardGeologyQuaternaryWhaleArchaeologyOceanographySeismologyGeographyPaleontologyLandslideFishery

Abstract

fetched live from OpenAlex

A reconnaissance survey of late Quaternary stratigraphy and geohazards has been carried out on the deep continental margin seaward of Green Bank, Haddock Channel and Whale Bank, based on sparse Huntec sparker lines and seven new piston cores. The area is crossed by the large Haddock valley seaward of Haddock Channel. To the southeast, Whale Slope is relatively undissected, but the slope seaward of Green Bank is dissected by tributaries of Haddock and Halibut valleys. Five regional reflections were correlated throughout much of the study area in Huntec sparker profiles. The distribution of major mass-transport deposits, evacuation surfaces and headscarps was mapped. Most piston cores penetrated to between Heinrich layer 1 and the last glacial maximum and recovered principally mud. Cores adjacent to Haddock Valley contained abundant thin sand beds of late Pleistocene age. Cores were correlated with adjacent long core records on St Pierre Slope and at the Narwhal well site. Extrapolation of ages from cores suggests that the recurrence interval of regional failures is several tens of thousands of years. More frequent local failures are found at the foot of active fault scarps.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.062
GPT teacher head0.313
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2007
Admission routes1
Has abstractyes

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