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Record W4220697072 · doi:10.5194/egusphere-egu22-13036

Paleomagnetism of Portuguese stalagmites: advances and perspectives

2022· preprint· en· W4220697072 on OpenAlexaff
Eric Font, Elisa M. Sánchez‐Moreno, Fco. Javier Pavón–Carrasco, Luca António Dimuccio, Claude Hillaire‐Marcel, Bassam Ghaleb, Joana Ribeiro, Cristina Veiga‐Pires, Ricardo I.F. Trindade, Joshua M. Feinberg, Eduardo A. Lima, Roger Fu, Larry Edwards, Jorge Ponte, Maria Alexandra Pais, Lúcio Cunha, B. P. Weiss

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArchaeological and Geological Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSpeleothemPaleomagnetismStalagmiteCaveGeologyEnvironmental magnetismRock magnetismEarth's magnetic fieldPaleontologyPhysical geographyClimatologyGeographyArchaeologyMagnetic fieldPhysics

Abstract

fetched live from OpenAlex

<p>Speleothems are secondary mineral deposits formed in caves and may represent excellent recorders of variations of the Earth’s magnetic field. Magnetic studies of speleothems provide two important forms of data: i) continuous and high-resolution records of short-term variations of the geomagnetic field (GMF), and conversely the use of paleomagnetism as a dating tool of speleothems; and ii) high-resolution records of climate variability by linking rock magnetic properties to climate and environmental forcing parameters acting on soils. However, the use of speleothem magnetism as a dating tool and paleo-climate archive still requires a great deal of maturation before being comparable to traditional techniques. Here we present a review of the paleomagnetic records of speleothems from Portugal obtained during the last five years and propose a new approach to date speleothem based on paleomagnetic data. We also present preliminary results and future investigations in the framework of an ongoing research project (Speleothems as magnetic, environmental and paleo-fire archives; ref. PTDC/CTA-GEO/0125/2021) and a bilateral exploratory MIT-FCT project (Analyzing environmental and climate records in Portuguese speleothems using ultra-high sensitivity magnetic microscopy; ref. MIT-EXPL/ACC/0023/2021) both funded by the Foundation of Sciences and Technology (FCT) of Portugal.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score0.969

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0320.000

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 head0.055
GPT teacher head0.248
Teacher spread0.193 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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