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Record W2884809501 · doi:10.1073/pnas.1806216115

Constraints on Paleoproterozoic atmospheric oxygen levels

2018· article· en· W2884809501 on OpenAlexafffund
Eric J. Bellefroid, Ashleigh v.S. Hood, Paul F. Hoffman, Matthew Thomas, Christopher T. Reinhard, Noah J. Planavsky

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPrecambrianCarbonateGeologyBiosphereProterozoicAtmospheric oxygenFaciesDeglaciationOxygenEarth sciencePaleontologyEcologyChemistryStructural basinGlacial period

Abstract

fetched live from OpenAlex

Significance Earth’s protracted oxygenation significantly transformed global biological and geochemical cycles. In particular, the rise of atmospheric oxygen above trace levels was an essential prerequisite for the development of animals. However, quantifying atmospheric oxygen levels in Earth’s middle age remains a daunting challenge. Here we use a combination of sedimentology, geochemical constraints, and oceanographic modeling to provide a quantitative estimate of Precambrian atmospheric oxygen. We provide evidence that atmospheric oxygen levels decreased significantly after the “Great Oxygenation Event” in Earth’s early history, to levels that would have negatively impacted the ecology of the earliest complex organisms.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.999

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 studies0.0000.004
Scholarly communication0.0000.000
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 head0.049
GPT teacher head0.280
Teacher spread0.231 · 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.

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

Citations125
Published2018
Admission routes2
Has abstractyes

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