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Record W1998262289 · doi:10.1016/j.femsec.2004.11.007

Hydrocarbon contamination changes the bacterial diversity of soil from around Scott Base, Antarctica

2004· article· en· W1998262289 on OpenAlexaff
David J. Saul, Jackie Aislabie, Caroline Brown, L. J. Harris, Julia M. Foght

Bibliographic record

VenueFEMS Microbiology Ecology · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsUniversity of Alberta
FundersAntarctica New Zealand
KeywordsActinobacteriaBiologyCytophagaFlavobacteriumSphingomonasSoil waterSoil contaminationProteobacteriaContaminationSoil microbiologyEcologyMicrobiologyPseudomonasBacteria

Abstract

fetched live from OpenAlex

A combination of culture-independent and culturing methods was used to determine the impacts of hydrocarbon contamination on the diversity of bacterial communities in coastal soil from Ross Island, Antarctica. While numbers of culturable aerobic heterotrophic microbes were 1-2 orders of magnitude higher in the hydrocarbon-contaminated soil than control soil, the populations were less diverse. Members of the divisions Fibrobacter/Acidobacterium, Cytophaga/Flavobacterium/Bacteroides, Deinococcus/Thermus, and Low G+C gram positive occurred almost exclusively in control soils whereas the contaminated soils were dominated by Proteobacteria; specifically, members of the genera Pseudomonas, Sphingomonas and Variovorax, some of which degrade hydrocarbons. Members of the Actinobacteria were found in both soils.

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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.011
GPT teacher head0.196
Teacher spread0.184 · 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

Citations266
Published2004
Admission routes1
Has abstractyes

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