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Record W2055287459 · doi:10.1139/w03-018

Isolation and taxonomic and catabolic characterization of a 3,6-dimethylphenanthrene-utilizing strain of<i>Sphingomonas</i>sp.

2003· article· en· W2055287459 on OpenAlexvenueno aff
Jordi Sabaté, Marc Viñas, Josep M. Bayona, A.M. Solanas

Bibliographic record

VenueCanadian Journal of Microbiology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
Fundersnot available
KeywordsSphingomonasCreosoteStrain (injury)ChemistryBiodegradationEnergy sourceCarbon fibersCarbon sourceBioremediationOrganic chemistryEnvironmental chemistryChromatographyFood scienceBacteriaBiochemistryBiology16S ribosomal RNAPetroleumMaterials science

Abstract

fetched live from OpenAlex

A bacterial strain capable of utilizing 3,6-dimethylphenanthrene (3,6-DMP) as its sole source of carbon and energy was isolated from a creosote-contaminated soil. The isolate was identified as a strain of Sphingomonas sp. and was designated strain JS1. Utilization of 3,6-DMP was demonstrated by an increase in bacterial biomass concomitant with a decrease in 3,6-DMP in a liquid mineral medium with this compound as its sole source of carbon and energy. Strain JS1 showed a high specificity in the use of the most abundant alkylderivatives of crude oils, such as alkylnaphthalenes and other alkylphenanthrenes, as the sole source of carbon and energy. It can also use several polycyclic aromatic hydrocarbons of three and four rings and their alkylated derivatives as growth substrates or transform them. The identification of several intermediate metabolites points to extensive metabolic activity, including the following: (i) aromatic ring oxidation and cleavage, (ii) methyl group oxidations, and (iii) methylenic oxidations. The metabolic actions of Sphingomonas sp. JS1 on the aromatic fraction extracted from a creosote-contaminated soil are also examined.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.019
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0000.000

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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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.

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

Citations7
Published2003
Admission routes1
Has abstractyes

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