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Record W2738195433 · doi:10.1021/acs.chemmater.7b01700

Electrochemical Polymerization of Functionalized Graphene Quantum Dots

2017· article· en· W2738195433 on OpenAlexafffundabout
Mark B. Miltenburg, Tyler B. Schon, Emily L. Kynaston, Joseph G. Manion, Dwight S. Seferos

Bibliographic record

VenueChemistry of Materials · 2017
Typearticle
Languageen
FieldMaterials Science
TopicCarbon and Quantum Dots Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationOntario Centres of Excellence
KeywordsGeorge (robot)Library scienceCitationArt historyArtEngineeringHumanitiesComputer science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTElectrochemical Polymerization of Functionalized Graphene Quantum DotsMark B. MiltenburgMark B. MiltenburgDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, CanadaMore by Mark B. Miltenburg, Tyler B. SchonTyler B. SchonDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, CanadaMore by Tyler B. Schon, Emily L. KynastonEmily L. KynastonDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, CanadaMore by Emily L. Kynaston, Joseph G. ManionJoseph G. ManionDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, CanadaMore by Joseph G. Manion, and Dwight S. Seferos*Dwight S. SeferosDepartment of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, Canada*D. S. Seferos. E-mail: [email protected]More by Dwight S. Seferoshttp://orcid.org/0000-0001-8742-8058Cite this: Chem. Mater. 2017, 29, 16, 6611–6615Publication Date (Web):July 26, 2017Publication History Received25 April 2017Revised24 July 2017Published online26 July 2017Published inissue 22 August 2017https://doi.org/10.1021/acs.chemmater.7b01700Copyright © 2017 American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceArticle Views3321Altmetric-Citations28LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (2 MB) Get e-AlertsSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Functionalization,Monomers,Polymer films,Two dimensional materials,X-ray photoelectron spectroscopy Get e-Alerts

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations38
Published2017
Admission routes3
Has abstractyes

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