MétaCan
Menu
Back to cohort
Record W2971385441 · doi:10.1029/2019gl083321

Preservation of Cyanobacterial UVR‐Shielding Pigment Scytonemin in Carbonate Ooids Formed in Pleistocene Salt Lakes in the Qaidam Basin, Tibetan Plateau

2019· article· en· W2971385441 on OpenAlexaff
Yu Sun, Yiliang Li, Long Li, Hongping He

Bibliographic record

VenueGeophysical Research Letters · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiocrusts and Microbial Ecology
Canadian institutionsUniversity of Alberta
FundersResearch Grants Council, University Grants CommitteeNational Natural Science Foundation of China
KeywordsGeologyAragoniteOoidHaliteGypsumEvaporiteGeochemistryCarbonateSedimentary depositional environmentPaleontologyStructural basinSedimentary rockCalcite

Abstract

fetched live from OpenAlex

Abstract The formation of ooids and their use as a proxy to trace biogeochemical cycles have long been controversial. Here, we examined three beds of evaporite‐cemented ooids in the Qaidam Basin, including a layer of dolomitic ooids formed at 293 ± 4 kyr and cemented by gypsum at 266 ± 3 kyr, a layer of aragonitic ooids formed at 163 ± 1 kyr and cemented by halite at 111 ± 0.8 kyr, and another layer of aragonitic ooids formed at 38 ± 0.5 kyr and cemented by gypsum at 23 ± 0.3 kyr. The Raman spectra of organic extracts from these ooids indicate ubiquitous preservation of scytonemin, a unique cyanobacterial ultraviolet radiation (UVR)‐shielding pigment. This discovery suggests that ooids are capable of preserving biomarker from their depositional environment. Consequently, ooid may be used as a proxy for tracing biogeochemical processes and potentially applied to the search for life on Mars.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.270
Teacher spread0.240 · 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

Citations21
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGeophysical Research LettersSame topicBiocrusts and Microbial EcologyFrench-language works237,207