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Record W6936147984 · doi:10.57760/sciencedb.28397

Data for "East meets West: The trace of the Mesoproterozoic Kibaran event in the mantle lithosphere beneath eastern Tanzania"

2025· dataset· en· W6936147984 on OpenAlexaff

Bibliographic record

VenueScienceDB · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeridotiteTrace elementMantle (geology)LithosphereRare-earth elementTable (database)Kimberlite

Abstract

fetched live from OpenAlex

This file includes Supplementary Tables S1 to S4 for the publication "East meets West: The trace of the Mesoproterozoic Kibaran event in the mantle lithosphere beneath eastern Tanzania"(submitted to Journal of Geophysical Research: Solid Earth in July 2025).Table S1. Major element compositions of minerals from the Lashaine peridotite BD796 in this study.Table S2. Trace element concentration (ppm) of garnets, clinopyroxenes and orthopyroxenes from the Lashaine peridotites. Table S3. Highly siderophile element abundances and Re-Os isotopic compositions of the Lashaine peridotites.Table S4. Lu–Hf, Sm-Nd and Sr isotopic compositions of garnets and clinopyroxenes from the Lashaine peridotites.

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)0.001
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.184
Threshold uncertainty score0.617

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.009
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1840.119

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 head0.045
GPT teacher head0.327
Teacher spread0.281 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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