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Record W2989743519 · doi:10.1029/2019gl085736

Age of the Canada Basin, Arctic Ocean: Indications From High‐Resolution Magnetic Data

2019· article· en· W2989743519 on OpenAlexaboutno aff
Tao Zhang, J. Dyment, Jiayu Gao

Bibliographic record

VenueGeophysical Research Letters · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
FundersSecond Institute of Oceanography, State Oceanic AdministrationChinese Arctic and Antarctic AdministrationNational Natural Science Foundation of China
KeywordsGeologyStructural basinLineationArcticTectonicsEarth's magnetic fieldMagnetic anomalyCanada BasinOceanic basinPaleomagnetismPaleontologyGeophysicsOceanographyMagnetic field

Abstract

fetched live from OpenAlex

Abstract The origin and history of the Amerasia basin are long‐running debates, which hinder our knowledge of the Mesozoic tectonic configurations and geodynamic processes in the Arctic. This lack of knowledge is due in part to the paucity of accurate magnetic data in the ice‐covered basin. Here, we identify the crustal age of the Canada Basin, a major part of the Amerasia Basin, through high‐resolution deep‐tow and sea‐surface magnetic data. The best fit of the four pairs of magnetic lineations revealed by the high‐resolution magnetic data is 139.5–128.6 Ma (or 142.4–132.8 Ma, depending on the geomagnetic polarity timescale). The crustal age provides crucial constraints on the evolution of the circum‐Arctic tectonic features and generally supports the hypothesis that the opening of the Amerasia Basin is related to the subductions during the closure of the South Anyui Ocean.

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 score0.428
Threshold uncertainty score0.989

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 science0.0010.000
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 head0.042
GPT teacher head0.245
Teacher spread0.202 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

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