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Record W3082828539 · doi:10.1201/9781003079323-11

Annual paleomagnetic record from late glacial varves in Lago Buenos Aires Valley, Patagonia, Argentina

2020· book-chapter· en· W3082828539 on OpenAlexaboutno aff
Claudio A. Sylwan

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVarvePaleomagnetismGlacial periodGeologyPhysical geographyGeographyArchaeologyGeomorphologyPaleontology

Abstract

fetched live from OpenAlex

A sequence of 887 varves has been measured. A continuous process of ice retreat is inferred through the gradual decreasing of the thickness of the varves. Paleomagnetic studies show very strong intensities and stable polarity within single varves as well as from varve to varve. The general trend of declination is a smooth shift from 40–50°W to 0° at the top. The inclination shifts from -70°–85° to -35° at the top. The VGP is localized in the Arctic-Siberian region and swings later to western Greenland-northeastern Canada. The age of the varves is on the range between 12,500–13,500 BP. Una secuencia de 887 varves ha sido medida. Un proceso continuo de recesión glacial puede inferirse a través de la disminución gradual del espesor de los varves. Los estudios paleomagnéticos muestran intensidades muy fuertes y polaridad estable en varves individuales, así como de varve a varve. La tendencia general de la declinación es una variación suave de 40°–50°W, a 0° en el techo de la secuencia. La inclinación varia de -70°–85° a -35° en el techo. El PGV está localizado en la región ártico-siberiana y se desplaza luego hacia Groenlandia occidental o Canadá nororiental. La edad de les varves parece encontrarse en el rango entre 12.500–13.500 años AP.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

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

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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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