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Record W2992957323 · doi:10.1039/c9cc08088k

Universal unilateral electro-spinning/spraying strategy to construct water-unidirectional Janus membranes with well-tuned hierarchical micro/nanostructures

2019· article· en· W2992957323 on OpenAlex
Linlin Yan, Xiaobin Yang, Jun Long, Xiquan Cheng, Duo Pan, Yifeng Huang, Lu Shao

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

VenueChemical Communications · 2019
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsUniversity of TorontoToronto Public Health
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Shandong ProvinceState Key Laboratory of Urban Water Resource and EnvironmentHarbin Institute of TechnologyChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsJanusSpinningMembraneMaterials scienceNanostructureNanotechnologyConstruct (python library)Computer scienceComposite materialChemistry

Abstract

fetched live from OpenAlex

Janus membranes (JMs) with hierarchical micro/nanostructures were constructed by unilaterally electro-spinning/spraying a hydrophobic polymer on various hydrophilic porous substrates for liquid manipulation/rectification. The membrane geometry and liquid transport behaviors can be delicately tuned. Our novel universal strategy can be extended to diverse hydrophobic porous substrates.

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 score0.008
Threshold uncertainty score0.596

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 science0.0010.000
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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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