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Record W2353784602

Sulphate reducing bacteria in core sediments from the Canada Basin and the Chukchi Sea

2008· article· en· W2353784602 on OpenAlexaboutno aff
Xuezheng Lin

Bibliographic record

VenueActa Scientiae Circumstantiae · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsSedimentArcticLatitudeCore sampleStructural basinCanada BasinGeologyEnvironmental scienceOceanographySedimentary rockHydrology (agriculture)MineralogyGeomorphologyGeochemistryCore (optical fiber)
DOInot available

Abstract

fetched live from OpenAlex

Ten sediment core samples(water depth from50 ~3850 m) were collected in the the Canada Basin and the Chukchi Sea during the SecondChinese National Arctic Research Expedition.Each core was sliced on board at 1 cm intervals from 0 ~10 cm and at 2 cm intervals below 10 cm assubsamples,the content of sulfate reducing bacteria(SRB) of these subsamples were analyzed by MPN(Most Probable Number) methed.The contents ofSRB cultivated at both 4℃ and 25℃ ranged from0 to 2.4×106cel.lg-1wet sample and the average SRB cultivated at4℃ and 25℃ were 2.06×104cell.g-1wet sample,and 4.70×104cell.g-1wet sample,respectively.Unlike surface sediments in the study area,the latter shows a tendency to increasefrom low latitude to high latitude,or from shallow water to deep basin.From surface to depths,the content of SRB in sediment changes irregularly,depending on the sedimentary environment.The average contents of SRB cultured at4℃ and 25℃ in the same layer ranged from51 to1.2×106cel.lg-1wet samples and 2.04×102to 2.47×105cel.lg-1wet samples.Comparing the contents,content range,and occurrence rate of SRB cultivated at4℃ and25℃,it seems that 25℃ is more suitable than 4℃for survival and propagation of some SRB.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.197
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 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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

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