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Record W602447733

Water supply systems : demand, distribution, and pollution

2012· book· en· W602447733 on OpenAlexaboutno aff
Md. Rafiqul Islam

Bibliographic record

VenueNova Science eBooks · 2012
Typebook
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceWater supplyWastewaterEnvironmental engineeringWater resource managementPollutionGroundwaterEffluentPollutantWater pollutionSurface waterEngineeringEnvironmental chemistry
DOInot available

Abstract

fetched live from OpenAlex

Preface Groundwater Contamination & Challenges in Meeting Increasing Water Demand Canadian Bottled Water Export Potential to the United States & the Gulf Countries Disinfection By-Products in Rural Water Supply Systems in Newfoundland: Experimental Investigation & Laboratory Analysis Disinfection By-products in Rural Water Supply Systems in Newfoundland: 2. Predictive Modeling Wastewater Discharge & its Management for Reuse in a Periurban Area of Bangladesh Nutrient Mineral Deficiency in Drinking Water & its Impact on Human Health Water Pollution Governance in Trans-Boundary River Basins: Lessons from a Policy Network Analysis of the Songhua River Pollution Event Removal of Arsenite from Contaminated Water by Constructed Soil Filter (CSF) Distribution of Trace Metal Pollutants in Surface Water System Connected to Effluent Disposal Points of Dhaka Export Processing Zone (DEPZ), Bangladesh: A Statistical Approach Index.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.004

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 head0.260
Teacher spread0.230 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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