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Record W321514985 · doi:10.2495/ehr070141

Evaluating safety of drinking water using animal cell bioassays

2007· article· en· W321514985 on OpenAlexaff
Grace K. Luk

Bibliographic record

VenueWIT transactions on biomedicine and health · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHaloacetic acidsBioassayGenotoxicityChemistryRaw waterEnvironmental chemistryChlorineHazardous wasteNatural organic matterWater treatmentOrganic matterWaste managementEnvironmental scienceToxicityEnvironmental engineeringOrganic chemistryEcology

Abstract

fetched live from OpenAlex

Disinfection byproducts (DBPs) such as trihalomethanes (THMs), haloacetic acids (HAAs), 3-chloro-4-(dichloromethyl)-5-hydroxyl-2(5H)-furanone (MX) and other hazardous compounds are produced by chlorination of raw water in the water treatment plants.Most chlorinated by-products are formed by the interaction of chlorine and natural organic matter (NOM) such as fulvic and humic acids, which are present in most surface waters.Many of these byproducts are suspected to be mutagenic or carcinogenic in nature.The objective of the paper is to demonstrate the effectiveness of bioassay-directed research in evaluating the safety of chlorinated drinking water, and to investigate the effect of pH on the genotoxicity of chlorinated sample water.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.057
GPT teacher head0.343
Teacher spread0.287 · 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
Published2007
Admission routes1
Has abstractyes

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