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Record W2016011126 · doi:10.1190/1.3517305

Characterizing the gas-hydrate stability zone using a vertical hydrophone array

2010· article· en· W2016011126 on OpenAlexaff
Ross Chapman, Mike Morley, Erika Geresi, Tom McGee, Paul Higley

Bibliographic record

VenueThe Leading Edge · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsClathrate hydrateGeologyCanyonHydrophoneSeabedAmbient noise levelHydrateBlock (permutation group theory)GeophoneSeismologyOceanographyPetrologyGeomorphologyMineralogySound (geography)

Abstract

fetched live from OpenAlex

This paper describes a set of unconventional seismic experiments designed to characterize the subsurface hydrate distribution at Mississippi Canyon Block 798 in the northern Gulf of Mexico. The sea floor at the survey site lies within the hydrate stability zone and heat-flow data indicate that the zone may be 400 m thick. Sediments near the sea floor are characterized by relatively weak seismic reflections. It is possible that the weak reflectivity partially is due to dispersed distribution of hydrates within the fine-grained sediments. The data were acquired using a vertical hydrophone array deployed at the sea bottom. Two different approaches were used at the site; one used a conventional seismic source, and the other used the noise generated by the ship. The results from the experiments indicate that the vertical array performs well for high-resolution characterization of the gas-hydrate stability zone.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.024
GPT teacher head0.242
Teacher spread0.219 · 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
Published2010
Admission routes1
Has abstractyes

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