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Record W3119417039 · doi:10.1080/10643389.2020.1866414

Phosphorus pollution control using waste-based adsorbents: Material synthesis, modification, and sustainability

2021· article· en· W3119417039 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

VenueCritical Reviews in Environmental Science and Technology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsMcGill University
Fundersnot available
KeywordsSustainabilityWastewaterWaste managementEnvironmental scienceSewage treatmentPollutionAdsorptionPhosphorusEnvironmental engineeringEngineeringMaterials scienceChemistry

Abstract

fetched live from OpenAlex

The utilization of waste materials to control phosphorus (P) pollution has been intensively studied as a promising strategy to achieve sustainable wastewater treatment. Although many methods are proposed and investigated to develop modified waste-based adsorbents, a core yet still-debated issue is their effectiveness and viability in real-world applications. Therefore, this critical review summarizes the current research state on the use of waste materials and their modified forms as adsorbents for dissolved reactive P removal from wastewater. Various performance improvement methods are compiled into the research outcomes to highlight three significant efforts that scientists have contributed to promoting the application of waste-based adsorbents: (i) how to enhance the P removal efficiency; (ii) how to scale up implementation; and (iii) how to achieve sustainable management. Furthermore, this review proposes a paradigm of waste-based absorbent in the P removal process to systematically formulate a complete sustainable management strategy for practical application. Overall, this review offers a guide for the development and application of waste-based adsorbents for P removal from wastewater.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.378
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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