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Record W2770013798 · doi:10.1002/jrs.5286

Comparative Raman and visible near‐infrared spectroscopic studies of jarosite endmember mixtures and solid solutions relevant to Mars

2017· article· en· W2770013798 on OpenAlexaff
Changqing Liu, Zongcheng Ling, Fengke Cao, Jian Chen

Bibliographic record

VenueJournal of Raman Spectroscopy · 2017
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsWestern University
FundersNational Natural Science Foundation of China
KeywordsJarositeRaman spectroscopyEndmemberMars Exploration ProgramChemistryAbsorption (acoustics)Analytical Chemistry (journal)Absorption spectroscopyMineralogyMaterials scienceHyperspectral imagingRemote sensingEnvironmental chemistryAstrobiologyGeologyOpticsPhysics

Abstract

fetched live from OpenAlex

The chemical, structural and spectral properties of hydrated sulfate minerals are essential for their potential identifications and better understanding of martian aqueous history. Jarosite is an indicator of wet and acidic conditions on Mars. However, whether jarosites exist as solid solution phases or physical mixtures of endmembers is still an open question. In this study, we focused on comparisons of spectral characteristics (X‐ray diffraction, Raman, Visible and Near‐infrared) between Jarosite Solid Solutions (JSS) and corresponding Jarosite Physical Mixtures (JPM) with different molar ratios of endmembers (i.e. K‐jarosite to Na‐jarosite), in order to quantitatively characterize their spectral differences and mixing effects. For both X‐ray diffraction and Raman spectra, we find JPM have more overlapped peaks than JSS due to physical mixing effects of the formers, and the relative intensity of the overlapped peaks in K–Na JPM is relevant to the percentage of endmembers. On the other hand, JSS and JPM have strikingly similar Visible and Near‐infrared spectral features except the absorption features at 1950 and 2225 nm, where JPM have larger absorption depth. The detailed spectra properties of these two series of jarosite samples would provide a valuable database for current orbital remote sensing detections and future in situ Raman investigations on Mars (e.g. ExoMars and Mars 2020). Copyright © 2017 John Wiley & Sons, Ltd.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.337
Teacher spread0.298 · 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 designBench or experimental
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

Citations6
Published2017
Admission routes1
Has abstractyes

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