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Record W2314309618 · doi:10.2495/wp080261

Biodegradation of pharmaceuticals by common microorganisms

2008· article· en· W2314309618 on OpenAlexafffund
H. Gauthier, David G. Cooper, Viviane Yargeau

Bibliographic record

VenueWIT transactions on ecology and the environment · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsBiodegradationMicroorganismPseudomonas putidaPseudomonas fluorescensRhodococcusCometabolismChemistryMicrobiologyPseudomonasSulfamethoxazoleRhodococcus rhodochrousMicrobial biodegradationAntibioticsBacteriaBiologyBioremediationOrganic chemistry

Abstract

fetched live from OpenAlex

The biodegradation of selected pharmaceuticals has been studied using common microorganisms, in order to understand their fate in the environment.The pharmaceuticals selected for this study are known micropollutants.Carbamazepine is a drug used extensively in the treatment of epilepsy.Sulfamethizole, sulfamethoxazole and trimethoprim are common antibiotics.The microorganisms used were Rhodococcus rhodochrous, Pseudomonas putida, Pseudomonas fluorescens, Bacillus subtillis and Sphingomonas herbicidovorans.Biodegradation has been observed for carbamazepine, sulfamethizole and sulfamethoxazole.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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

Citations3
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueWIT transactions on ecology and the environmentSame topicPharmaceutical and Antibiotic Environmental ImpactsFrench-language works237,207