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Record W2981381318 · doi:10.4095/295857

Atlas of Sonobuoy velocity analyses in Canada Basin

2015· report· en· W2981381318 on OpenAlexaboutno aff
Deping Chian, Nina Lebedeva‐Ivanova

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAtlas (anatomy)Structural basinGeologyOceanographyGeographyEnvironmental sciencePaleontology

Abstract

fetched live from OpenAlex

Canada Basin of the Arctic Ocean is located in one of the most remote, ice-covered regions on Earth. This Atlas presents the data and velocity models for 144 out of 174 sonobuoys launched throughout and north of the Canada Basin between 2007 and 2011. The data, which are coincident with multichannel seismic reflection profiles, were acquired to map p-wave velocities and thicknesses of the sedimentary column. The refraction and wide-angle reflection data provide the basis for transformation of seismic reflection travel time data to the depth domain. Two independent approaches were utilized to obtain velocity models from the sonobuoy data: forward modeling (FM) of refracted arrivals and semblance analysis (SA) of wide-angle reflections. Sonobuoys with both FM and SA number 99. Agreement between the data sets is excellent. The maximum difference between the methods is about 10% and more than half of the measurements agree to within 5%. This atlas is a first release of these data with preliminary analyses and interpretations.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0130.016
Science and technology studies0.0020.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.075
GPT teacher head0.301
Teacher spread0.226 · 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

Citations19
Published2015
Admission routes1
Has abstractyes

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