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Record W2084584120 · doi:10.1080/01919510701878387

Impact of Operating Conditions on Decomposition of Antibiotics During Ozonation: A Review

2008· review· en· W2084584120 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOzone Science and Engineering · 2008
Typereview
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsAntibioticsHydrogen peroxideWastewaterOzoneSewage treatmentDecompositionChemistryWater treatmentWaste managementEnvironmental chemistryBiochemical engineeringEnvironmental scienceEnvironmental engineeringOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Recent studies have identified antibiotics and other pharmaceuticals in wastewater and surface water in many countries. The presence of low level antibiotics in the environment has raised concerns regarding potential selection of resistant bacterial strains that would render ineffective the use of some antibiotics in clinical practice. Recent reviews indicate the potential of ozonation and advanced oxidation processes in degrading pharmaceuticals in various types of water. However, no focus has been put on the impact of the operating conditions on the ozonation of these pharmaceuticals. This paper reviews the recent progress of ozonation of aqueous antibiotics in order to identify the influence of the operating conditions such as pH, temperature, use of hydrogen peroxide, ozone dosage, reactor setup and wastewater characteristics on the degradation of antibiotics.

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.

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.647
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.357
Teacher spread0.328 · 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