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Record W2539420978

Development of Synthetically Engineered Sorbent Materials for Waterborne Contaminants

2013· article· en· W2539420978 on OpenAlex
Lee D. Wilson

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 Material Science & Engineering · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSorbentSorptionCopolymerMaterials scienceBiochemical engineeringChemistryEngineeringOrganic chemistryAdsorptionPolymerComposite material
DOInot available

Abstract

fetched live from OpenAlex

R studies have shown the utility of copolymer sorbent materials based on cross-linked polysaccharide scaffolds. Polysaccharide scaffolds represent a versatile scaffold for the design of sorbent materials because of their interesting hostguest chemistry. Synthetic engineering through chemical cross-linking offers a modular strategy for copolymer sorbent materials with tunable structural and physiochemical properties. In this presentation, an overview of recent research concerning the sorption properties of synthetically engineered sorbent materials and waterborne contaminants will be reviewed. The results of this research are anticipated to contribute favourably to technology concerning sorptive based removal of water borne contaminants and chemical separations.

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 score0.009
Threshold uncertainty score0.603

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)0.0010.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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