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Record W2982670441 · doi:10.1021/acs.analchem.9b04868

Biosensors Made of Synthetic Functional Nucleic Acids Toward Better Human Health

2019· review· en· W2982670441 on OpenAlex
Erin M. McConnell, Ioana Cozma, Devon Morrison, Yingfu Li

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnalytical Chemistry · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCitationLibrary scienceChemistryComputer science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTBiosensors Made of Synthetic Functional Nucleic Acids Toward Better Human HealthErin M. McConnellErin M. McConnellDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada, L8S 4K1More by Erin M. McConnellView BiographyView BiographyView BiographyView Biography, Ioana CozmaIoana CozmaDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada, L8S 4K1Department of Surgery, Division of General Surgery, McMaster University, Hamilton, Ontario, Canada, L8S 4K1More by Ioana Cozma, Devon MorrisonDevon MorrisonDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada, L8S 4K1More by Devon Morrison, and Yingfu Li*Yingfu LiDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada, L8S 4K1*E-mail: [email protected]More by Yingfu Lihttp://orcid.org/0000-0002-7533-6743Cite this: Anal. Chem. 2020, 92, 1, 327–344Publication Date (Web):October 27, 2019Publication History Published online28 October 2019Published inissue 7 January 2020https://pubs.acs.org/doi/10.1021/acs.analchem.9b04868https://doi.org/10.1021/acs.analchem.9b04868review-articleACS PublicationsCopyright © 2019 American Chemical SocietyRequest reuse permissionsArticle Views3361Altmetric-Citations61LEARN 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-Alertsclose SUBJECTS:Biotechnology,Cancer,Genetics,Peptides and proteins,Sensors 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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.049
GPT teacher head0.348
Teacher spread0.299 · 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