MétaCan
Menu
Back to cohort
Record W2090692113 · doi:10.5539/jgg.v7n1p35

Geodynamic Features of the Northwestern Part of the Magellan Seamounts, Pacific Ocean

2015· article· en· W2090692113 on OpenAlexvenueno aff
S.I. Petukhov, В. М. Анохин, М. Е. Мельников, V.G. Vdovin

Bibliographic record

VenueJournal of Geography and Geology · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsLineamentSeamountGeologyBathymetryBathymetric chartLandformSeafloor spreadingBlock (permutation group theory)LithosphereSeismologyDepth soundingTectonicsGeomorphologyGeophysicsPaleontologyOceanographyGeometry

Abstract

fetched live from OpenAlex

A lineament analysis of the sea-floor relief in the north-western part of the Magellan Seamounts has been performed on the basis of the detailed bathymetric map of the area, which was created based on the results of multibeam echo sounding. According to the analysis, linear features of the relief were identified, the bearings of their strikes were measured and rose-charts of the lineaments in the study area were produced. Next, models of deep and subsurface deformation fields in the area were constructed emphasizing the blocks that were dominated by tensile or compressive stress. Interrelated movements of the blocks take place along the lines of sign changes of the stresses (along the block boundaries). The spatial and genetic relationships of the lineaments of the relief and the block boundaries were suggested by comparing the rose-diagrams of their directions. Both the linear system of landforms and the boundaries of deep and shallow blocks partially correspond to the four main systems of regmatic global network, which indicates a significant influence of the regmatic network on the structural plan of the area. Redistribution of stress values in the blocks appears to be associated with modern geological processes leading to formation of new features of the seafloor topography and partial destruction of guyots’ old surfaces.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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.

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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Geography and GeologySame topicGeological Studies and ExplorationFrench-language works237,207