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Record W2064415985 · doi:10.1089/ees.2006.23.897

Inactivation of the Avian Influenza Virus (H5N2) in Typical Domestic Wastewater and Drinking Water Treatment Systems

2006· article· en· W2064415985 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

VenueEnvironmental Engineering Science · 2006
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsShared Health
Fundersnot available
KeywordsInfluenza A virus subtype H5N1VirusEffluentWastewaterBiologyNewcastle diseaseVirologyInfluenza A virusSewage treatmentVeterinary medicineMicrobiologyEnvironmental scienceEnvironmental engineeringMedicine

Abstract

fetched live from OpenAlex

A highly pathogenic form of avian influenza of the H5N1 subtype emerged in Hong Kong in 1997, rapidly infecting wild and domesticated birds and spread among these populations to several countries in Asia, Africa, and Europe. This virus also proved capable of infecting humans. It was hypothesized that should human-to-human transmission of such a virus become efficient, domestic wastewater and drinking water treatment systems could become contaminated with the virus, potentially exacerbating the spread of this disease. The objectives of this work were to determine if a surrogate virus, H5N2 avian influenza virus (a virus with no history of infecting humans, hereafter referred to as "H5N2") is inactivated by UV radiation, chlorination, and anaerobic digestion. Infectious H5N2 was not detected in phosphate buffer and wastewater effluent at fluences greater than 10 mJ/cm2 and at Ct values, based on free residual chlorine, greater than . In bench-scale anaerobic digesters, H5N2 dropped from an initial concentration of 103.6 EID/mL to undetectable levels after 72 h.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.238

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 head0.015
GPT teacher head0.263
Teacher spread0.247 · 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