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Record W2976138289 · doi:10.1021/acsabm.9b00531

Stimulus-Responsive Biopolymeric Surface: Molecular Switches for Oil/Water Separation

2019· article· en· W2976138289 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Applied Bio Materials · 2019
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of Alberta
FundersWuhan Institute of TechnologyMadurai Kamaraj UniversityUniversity of Alberta
KeywordsStimulus (psychology)Materials sciencePsychologyCognitive psychology

Abstract

fetched live from OpenAlex

) upon exposure to UV light. Initially, the azobenzene-fluorosilane material was in a hydrophobic state; the contact angle was over 130°; and absorption performance with various organic solvents showed there to be high levels of extractive activity and outstanding reusability. When we exposed the material to UV light, the surface changed to that of a hydrophilic nature, and this phenomenon was influenced by the azobenzene chemistry of folding and unfolding of an azobenzene-fluorosilane molecule. Significantly, this phenomenon is a reversible, reusable, and eco-friendly material. Furthermore, dopamine polymers could block organic material, bacteria, and fungi, and this surface can be used for wastewater purification. Therefore, we foresee that the stimulus-responsive surface of biopolymeric material could result in a different direction in the oil/water purification fields.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.002
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.004

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 head0.013
GPT teacher head0.260
Teacher spread0.248 · 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