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Record W2366058237

Oxidative stress response of Acinetobacter lwoffii DNS32 exposed to atrazine-contaminated

2014· article· en· W2366058237 on OpenAlexaff
Yin Zhang

Bibliographic record

VenueDongbei Nongye Daxue xuebao · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsScience North
Fundersnot available
KeywordsAtrazineOxidative stressAntioxidantBacteriaMicrobiologyChemistryEnzymeBiologyFood scienceBiochemistryPesticide
DOInot available

Abstract

fetched live from OpenAlex

文章探讨以A.lwoffiiDNS32为试验菌株革兰氏阳性菌S.aureusR2经阿特拉津处理后,于0、6、12和24h取样测定SOD、CAT、GST活性和T—AOC。结果表明,暴露6h,两菌株T—AOC受到诱导,SOD、CAT和GST活性最大诱导率分别为111.26%和55.47%,72.79%和61.61%,33.35%和52.76%。暴露24h,A.lwoffii DNS32SOD和CAT受到诱导。GST和T—AOC受到抑制,而S.aureus R2 SOD、CAT、GST活性和T—AOC都受到抑制。与S.aureus R2相比,A.lwoffii DNS32对阿特拉津氧化胁迫的耐受性相对较高。

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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