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Record W4416782237 · doi:10.1038/s41467-025-65711-1

Abiotic N2 reduction in submarine hydrothermal systems could quickly fertilize prebiotic oceans

2025· article· en· W4416782237 on OpenAlexafffund
Liheng Sun, Kan Li, Zhen Sun, Yunying Zhang, Long Li

Bibliographic record

VenueNature Communications · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsUniversity of Alberta
FundersMajor Research PlanNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaGovernment of Canada
KeywordsAbiotic componentHydrothermal circulationAbiogenesisHydrothermal ventPrebioticAtmosphere (unit)Greenhouse gasSubmarine

Abstract

fetched live from OpenAlex

Abstract NH 3 or NH 4 + is an essential component of the abiotic synthesis of organic compounds for the origin of life and an efficient greenhouse gas to address the faint young Sun paradox on the early Earth. Sustainable NH 3 or NH 4 + on the N 2 -dominated prebiotic Earth’s surface requires potent abiotic N 2 reduction (ANR) in hydrothermal systems, which has not been detected in the geological record despite numerous laboratory demonstrations. Here we report high concentrations and extreme 15 N depletions of NH 4 + in hydrothermal veins in oceanic crusts drilled from the South China Sea basin. Our data indicate that abundant 15 N-depleted NH 4 + was produced by ANR in deep fluid but progressively overprinted by 15 N-enriched biogenic NH 4 + toward the surface. Modeling suggests that ANR could supply up to 9.0 – 10.8×10 10 mol⋅year -1 NH 4 + to global oceans, which is minor to the large nitrogen inventory in modern oceans, but could quickly fertilize the oceans and supply NH 3 to the atmosphere in the prebiotic Earth.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.291
Teacher spread0.280 · 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 designTheoretical or conceptual
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
Published2025
Admission routes2
Has abstractyes

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