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Record W6906097004 · doi:10.1594/ieda/500121

Processed multichannel seismic data in the Bering and Chukchi seas off Alaska, acquired during the R/V Maurice Ewing survey EW9410 (1994)

2019· dataset· en· W6906097004 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
FundersNational Science Foundation of Sri LankaNational Science Foundation
KeywordsTransectTerraneCanyonContinental shelfNorth American PlateContinental marginCanada BasinStructural basinArctic

Abstract

fetched live from OpenAlex

Stanford University, in conjunction with the U.S. Geological Survey, and with participation by the Institute of the Lithosphere and the Institute of the Russian Academy of Sciences, and the Geodynamics Research Institute of Texas A and M University, conducted deep seismic investigations of the continental crust beneath the Bering and Chukchi Seas, Alaska, during the month of August, 1994. The data was recorded to two-way travel-times of 15 to 23 seconds, with 50-75 m shot spacing. Two north-south transects were profiled. The eastern transect extended from 58 degrees 50'N, 168 degrees 32'W, well within the continental shelf of the Bering Sea, north of the Pribilof Islands, to just south of the shelf edge north of Barrow, Alaska, at 71 degrees 49'N, 154 degrees 33'W. Ice prevented continuation of the line beyond the shelf edge. The western transect extended from the central Chukchi Sea, well within the shelf at 71 degrees 23'N, 163 degrees 00'W, into the Aleutian basin at 58 degrees 00'N, 178 degrees 30'W, near Navarinsky Canyon. An additional short line crossing over the Beringian margin a second time was recorded near Zemchung Canyon east of the western transect. The profiles cross important strike-slip faults, possible terrane boundaries, two continental margins, and several Cretaceous/Tertiary sedimentary basins (Norton, Hope, Chukchi, and Navarin Basins). Together with the preceding cruise EW9409, the profiles provide a continuous transect across the North American continent, from the Pacific to Arctic Ocean. Most of the multi-channel (MCS) data is of high quality, but bad weather, strong currents, and recording problems sometimes presented difficulties during data acquisition. Gravity, magnetic, and sonobuoy data were also recorded along the profiles. Wide-angle recording was done in conjunction with the seismic profiling, at recording sites located along the central west coast of Alaska and the Chukchi Peninsula, as well as on islands in the Bering Strait and Bering Sea. The purpose was to conduct deep seismic investigations of the continental crust beneath the Bering and Chukchi Seas. Funded by NSF grant OCE93-17087.

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 score0.157
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.104
GPT teacher head0.343
Teacher spread0.238 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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