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Record W2094767503 · doi:10.1155/2015/369102

The Application of Advanced Materials on the Water or Wastewater Treatment

2015· article· en· W2094767503 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

VenueJournal of Chemistry · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsChemistryWastewaterSewage treatmentEnvironmental chemistryWaste management

Abstract

fetched live from OpenAlex

Water scarcity is being recognized as a present and future threat to human activity, and, as a consequence, water purification technologies are gaining major worldwide attention. Advanced materials have many properties, such as strong adsorption, enhanced redox, and photocatalytic properties, providing unprecedented opportunities to treat surface water, groundwater, and industrial wastewater that are contaminated with toxic metals, organic and inorganic compounds, bacteria, and viruses. Currently, tremendous progress has been made in development of advanced materials for their environmental applications, and knowledge has been accumulated of the effects of these advanced materials on and their applications in the environment security, recycling, and reuse of raw materials and treatment agents, economic benefits, and potential problems to our society.This special issue aims to provide an up-to-date account of advancement in these areas as well as insights gained through field experience.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.128

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 head0.025
GPT teacher head0.267
Teacher spread0.242 · 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