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Record W2380589518

Secondary water supply and sanitation conditions of hotels with star rating in Guangzhou during 2005-2009.

2010· article· en· W2380589518 on OpenAlexaboutno aff
Zhiwei Wang, Yi Zhong, Sili Jiang, Yijian Yang, Weihong Wang

Bibliographic record

VenueJournal of Tropical Medicine · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWater supplySanitationEnvironmental scienceWater qualityRating systemAsian gamesQuarter (Canadian coin)ContaminationEnvironmental healthEnvironmental engineeringBusinessMedicineGeographyEnvironmental economicsEcologyAdvertisingEconomics
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate the secondary water supply system in the hotels with star rating,and to provide recommendations for the improvement during the period of Asian Games in the Guangzhou City.Methods Data on the monitoring of water quality in the past 5 years were collected and analyzed.Results The overall passing rate of the water supply in the past 5 years was 86.05%.The passing rate of microbiological analysis was 85.47%,followed by the biological oxygen demand and the free chlorine content.The passing rates of these parameters in the second and third quarter were significantly lower than the first and fourth quarter.Conclusion Microbiological contamination is the major source of contamination in the secondary water supply system in the hotels with staring rating.Preventative measures should be strengthern to prevent infection.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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