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2021· article· en· W4247517762 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsnot available
FundersArmy Research OfficeDivision of Materials ResearchOffice of Naval ResearchDivision of Graduate EducationKavli Nanoscience Institute, California Institute of TechnologyDefense Advanced Research Projects AgencySharif University of TechnologyGrainger FoundationNational Science FoundationChinese Chemical SocietyUniversity of WashingtonUniversity of MichiganHansjörg Wyss Institute for Biologically Inspired Engineering, Harvard UniversityCalifornia Institute of TechnologyHarvard UniversityAdvanced Research Projects AgencyInstitut national de la recherche scientifique
KeywordsComputer science

Abstract

fetched live from OpenAlex

A new concept of "quantum-confined superfluid (QSF)" has been proposed for ultrafast ions and molecules transmission in biological ion channels, which are in a quantum way of single molecular or ionic chain with a certain number of molecules or ions.The biomimetic systems also exhibit QSF phenomena, such as ultrafast ions transport in artificial ion channels, and ultrahigh water flux in artificial water channels.The introduction of QSF concept in the fields of energy, chemistry and biology may create significant impact.As a challenge to the traditional theory, the concept of QSF will open up a new field of quantum ionics, promote the development and application of energy conversion material system, subvert the understanding of neural signal transmission in neuroscience and brain science, and promote the development of interfacial catalytic chemistry theory, and open up a new way for the future development of chemistry, chemical engineering and synthetic biology.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.669
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.3310.282

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 head0.009
GPT teacher head0.179
Teacher spread0.170 · 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

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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