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Record W2904032992 · doi:10.1029/2018je005852

Abiotic Input of Fixed Nitrogen by Bolide Impacts to Gale Crater During the Hesperian: Insights From the Mars Science Laboratory

2018· article· en· W2904032992 on OpenAlexaboutno aff
R. Navarro‐González, Karina F. Navarro, Patrice Coll, Christopher P. McKay, J. C. Stern, B. Sutter, P. D. Archer, A. Buch, M. Cabane, P. G. Conrad, J. L. Eigenbrode, H. B. Franz, Caroline Freissinet, D. P. Glavin, J. V. Hogancamp, A. C. McAdam, C. A. Malespin, Javier Martín‐Torres, D. W. Ming, R. V. Morris, Benny Prats, F. Raulin, J. A. Rodríguez‐Manfredi, Cyril Szopa, María‐Paz Zorzano, P. R. Mahaffy, S. K. Atreya, M. G. Trainer, A. R. Vasavada

Bibliographic record

VenueJournal of Geophysical Research Planets · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
FundersUniversidad Nacional Autónoma de MéxicoConsejo Nacional de Ciencia y TecnologíaCentre National d’Etudes SpatialesNational Aeronautics and Space Administration
KeywordsNoachianHesperianImpact craterNitrogenMars Exploration ProgramAstrobiologymyrVolcanoMartianGeologyNitrogen fixationCrater lakeGeochemistryChemistryEnvironmental chemistry

Abstract

fetched live from OpenAlex

Abstract Molecular hydrogen (H 2 ) from volcanic emissions is suggested to warm the Martian surface when carbon dioxide (CO 2 ) levels dropped from the Noachian (4100 to 3700 Myr) to the Hesperian (3700 to 3000 Myr). Its presence is expected to shift the conversion of molecular nitrogen (N 2 ) into different forms of fixed nitrogen (N). Here we present experimental data and theoretical calculations that investigate the efficiency of nitrogen fixation by bolide impacts in CO 2 ‐N 2 atmospheres with or without H 2 . Surprisingly, nitric oxide (NO) was produced more efficiently in 20% H 2 in spite of being a reducing agent and not likely to increase the rate of nitrogen oxidation. Nevertheless, its presence led to a faster cooling of the shock wave raising the freeze‐out temperature of NO resulting in an enhanced yield. We estimate that the nitrogen fixation rate by bolide impacts varied from 7 × 10 −4 to 2 × 10 −3 g N·Myr −1 ·cm −2 and could imply fluvial concentration to explain the nitrogen (1.4 ± 0.7 g N·Myr −1 ·cm −2 ) detected as nitrite (NO 2 − ) and nitrate (NO 3 − ) by Curiosity at Yellowknife Bay. One possible explanation is that the nitrogen detected in the lacustrine sediments at Gale was deposited entirely on the crater's surface and was subsequently dissolved and transported by superficial and ground waters to the lake during favorable wet climatic conditions. The nitrogen content sharply decreases in younger sediments of the Murray formation suggesting a decline of H 2 in the atmosphere and the rise of oxidizing conditions causing a shortage in the supply to putative microbial life.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.018
GPT teacher head0.295
Teacher spread0.277 · 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

Citations30
Published2018
Admission routes1
Has abstractyes

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