MétaCan
Menu
Back to cohort
Record W2084765326 · doi:10.1021/ma035895p

Photopatternable Metallopolymers:  Photo-Cross-Linking and Photolithography of Polyferrocenylsilane Methacrylates

2004· article· en· W2084765326 on OpenAlexaffabout
Paul W. Cyr, David A. Rider, Kevin Kulbaba, Ian Manners

Bibliographic record

VenueMacromolecules · 2004
Typearticle
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCitationPhotolithographySocial mediaComputer scienceLibrary scienceNanotechnologyWorld Wide WebMaterials science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUECommunication to the...Communication to the EditorNEXTPhotopatternable Metallopolymers: Photo-Cross-Linking and Photolithography of Polyferrocenylsilane MethacrylatesPaul W. Cyr, David A. Rider, Kevin Kulbaba, and Ian MannersView Author Information Department of Chemistry, University of Toronto, 80 St. George St., Toronto, Ontario M5S 3H6, Canada Cite this: Macromolecules 2004, 37, 11, 3959–3961Publication Date (Web):April 27, 2004Publication History Received12 December 2003Revised4 March 2004Published online27 April 2004Published inissue 1 June 2004https://pubs.acs.org/doi/10.1021/ma035895phttps://doi.org/10.1021/ma035895prapid-communicationACS PublicationsCopyright © 2004 American Chemical SocietyRequest reuse permissionsArticle Views619Altmetric-Citations31LEARN 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 InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Copolymers,Organic compounds,Polymers,Silicon,Thin films 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 score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.006

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 head0.260
Teacher spread0.251 · 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

Citations32
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueMacromoleculesSame topicPhotopolymerization techniques and applicationsFrench-language works237,207