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Record W3124689201 · doi:10.1021/acscentsci.1c00108

You Wouldn’t Download a Molecule! Now, ChemSCAD Makes It Possible

2021· article· en· W3124689201 on OpenAlexaffabout
Martin Seifrid, Alán Aspuru‐Guzik

Bibliographic record

VenueACS Central Science · 2021
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsVector InstituteCanadian Institute for Advanced ResearchUniversity of Toronto
Fundersnot available
KeywordsDownloadLibrary scienceCitationWorld Wide WebEngineeringComputer science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVFirst ReactionsNEXTYou Wouldn't Download a Molecule! Now, ChemSCAD Makes It PossibleNew software allows chemists to 3D print labware customized to their syntheses.Martin SeifridMartin SeifridDepartment of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, CanadaDepartment of Computer Science, University of Toronto, Toronto, Ontario M5S 3H6, CanadaMore by Martin Seifridhttp://orcid.org/0000-0001-5238-0058 and Alán Aspuru-Guzik​Alán Aspuru-GuzikDepartment of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, CanadaDepartment of Computer Science, University of Toronto, Toronto, Ontario M5S 3H6, CanadaVector Institute for Artificial Intelligence, Toronto, Ontario M5S 1M1, CanadaCanadian Institute for Advanced Research (CIFAR) Senior Fellow, Toronto, Ontario M5S 1M1, CanadaEmail: [email protected]More by Alán Aspuru-Guzikhttp://orcid.org/0000-0002-8277-4434Cite this: ACS Cent. Sci. 2021, 7, 2, 228–230Publication Date (Web):January 26, 2021Publication History Published online26 January 2021Published inissue 24 February 2021https://doi.org/10.1021/acscentsci.1c00108Copyright © Published 2021 by American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceCC: Creative CommonsBY: Credit must be given to the creatorNC: Only noncommercial uses of the work are permittedND: No derivatives or adaptations of the work are permittedArticle Views4122Altmetric-Citations1LEARN 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 (1 MB) Get e-AlertsSUBJECTS:Genetics,Chemical synthesis,Biological databases,3D printing,Chemical reactions,Software 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 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 score0.169
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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 teacher head, 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

Citations3
Published2021
Admission routes2
Has abstractyes

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