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Record W4410999108 · doi:10.2138/gselements.21.3.177

Serpentine Solid Solutions and Hydrogen Production on Early Earth and Mars

2025· article· en· W4410999108 on OpenAlexaff
Benjamin M. Tutolo, James Leong

Bibliographic record

VenueElements · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAstrobiologyMars Exploration ProgramEarth (classical element)HydrogenHydrogen productionEarth scienceEnvironmental scienceGeologyChemistryPhysicsAstronomyOrganic chemistry

Abstract

fetched live from OpenAlex

The unusual structural properties of the Fe-Mg serpentine minerals permit significant chemical variability, but the mechanisms and extent of elemental substitution have only recently come to light. New results show that greenalite forms solid solutions with the Fe(III) end-member hisingerite, cronstedtite, and Mg-serpentines, with the composition depending on formation conditions. Leveraging this new mineralogical context enables quantitative estimation of H2 production on Earth and Mars. Together, these advances indicate that greenalite solid solutions in ancient rocks produced and released H2 and thus contributed to planetary habitability. Examination of Martian rocks and analogous Earth materials shows greenalite-hisingerite minerals were responsible for H2 fluxes to the ancient Martian atmosphere and could be important contributors to planetary habitability throughout the Solar System.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.238
Teacher spread0.225 · 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

Citations12
Published2025
Admission routes1
Has abstractyes

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