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Bedrock characterization and geochemical evolution of whole-rock weathering profile at GAG Ni laterite deposit, Southwest Papua, Indonesia

2024· article· en· W4405182880 on OpenAlexaff
Dwi Vidya Sari, G S Wibowo, Aftri Nurdiyansyah

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsNickel Institute
Fundersnot available
KeywordsGeologyBedrockWeatheringPyroxeneLateriteLimoniteMagnetiteMineralogyGeochemistryUltramafic rockPyropeOlivineNickelGeomorphologyMetallurgyMaterials science

Abstract

fetched live from OpenAlex

Abstract A series of laboratory analyses were conducted to investigate the correlation of petrography analyses of a bedrock coupled with microscope observation and X-Ray Diffraction (XRD) then compared with distribution of geochemical elements of whole-rock weathering profile by X-Ray Fluorescence (XRF). The microscope identification revealed that the bedrock was marked by the appearance of pyroxene predominantly surrounding olivine and serpentine, then magnetite, while XRD clarified that the bedrock was predominantly contained by a number of serpentine (lizardite), then pyroxene (enstatite), and magnetite. The geochemical evolution by bulk major-minor elements geochemistry as well as gain and losses of elements (τ) and compared with the equation from the ultramafic index alteration (UMIA) revealed that Fe 2 O 3 , NiO, Al 2 O 3 , CoO, Cr 2 O 3 and MnO contents in the bedrock were 7.18wt%, 0.23 wt%, 1.23wt%, 0.01wt%, 0.35wt%, and 0.11wt%, respectively, then strongly increased towards the transition zone to 35.89wt%, 2.04wt%, 9.01wt%, 0.10wt%, 1.87wt%, and 0.51wt%, respectively. SiO 2 and MgO revealed an inverted trend where it enriched in the bedrock then extremely decreased limonite layer with SiO 2 (τ = ~ -0.92) and MgO (τ = ~ -0.99). The highest value of UMIA as well as consequently the highest degree of chemical weathering in this study was located in the upper limonite with a value of 63.87.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.783

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 communication0.0000.001
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 head0.005
GPT teacher head0.163
Teacher spread0.158 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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