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SUBMARINE LANDSLIDES IN THE CONTINENTAL MARGINS OF THE ARCTIC BASIN

2018· article· en· W2909139524 on OpenAlexaboutno aff
Boris Baranov, К. А. Дозорова, В. А. Рашидов

Bibliographic record

VenueBulletin of Kamchatka Regional Association «Educational-Scientific Center» Earth Sciences · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine landslideLandslideGeologyContinental shelfContinental marginOceanographyStructural basinSubmarineArcticSubmarine pipelineGeomorphologyThe arcticPhysical geographyPaleontologyTectonicsGeography

Abstract

fetched live from OpenAlex

A review of investigations devoted to submarine landslides of Norwegian-Barents Sea-Spitsbergen and Canadian-Alaskan continental margins is presented. The review includes general characteristics of the landslides and environments in which they are widely spread. Data on Russian Arctic landslide processes are very poor; so for this region we examined necessary and sufficient conditions of landslide formation such as sloping bottom, high-rate sedimentation and environmental stress (triggering mechanisms). As a result the most favorable for landslides formation areas were distinguished, namely: shelf trenches and their fans in the Kara Sea, shelf break, slope and broad continental rise in the Laptev Sea.

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)0.002
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 score0.101
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.220
Teacher spread0.197 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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