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Data report: anisotropy of magnetic susceptibility of sand layers and detrital carbonate layers in deep-sea sediments from the Labrador Sea, North Atlantic

2011· book-chapter· en· W2485504488 on OpenAlexaboutno aff
Kimitaka Kawamura, Toshiya Kanamatsu

Bibliographic record

VenueProceedings of the Integrated Ocean Drilling Program. Expedition reports/Proceedings of the Integrated Ocean Drilling Program · 2011
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersNatural Environment Research CouncilFukada Geological InstituteUniversity of CambridgeNational Science Foundation
KeywordsGeologyCarbonateOceanographyAnisotropyMagnetic susceptibilityDeep seaGeochemistryMineralogyMaterials scienceChemistry

Abstract

fetched live from OpenAlex

Microfabrics of sand and detrital carbonate layers were deduced from a study on magnetic susceptibility anisotropy of drill core sediments obtained from Site U1305 during Integrated Ocean Drilling Program Expedition 303.The magnetic minerals that contribute to the magnetic susceptibility and their anisotropy are assumed to be ferrimagnetic minerals according to their magnetic hysteresis analyses.Maximum magnetic susceptibility (Kmax) directions of those layers are largely scattered, but Kmax resides in the southeast margin of the diagram with 5°-10° inclination.Kmin is mostly concentrated in a vertical direction with a 5°-10° northwest plunge. Data report: anisotropy of magnetic susceptibility of sand layers and detrital carbonate layers in deep-sea sediments from the Labrador Sea, North Atlantic 1

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

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)0.0070.002

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 head0.025
GPT teacher head0.241
Teacher spread0.216 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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