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Correction to “Targeted Theranostic <sup>111</sup>In/Lu-Nanotexaphyrin for SPECT Imaging and Photodynamic Therapy”

2022· erratum· en· W4308624642 on OpenAlexfundno aff
Miffy H. Y. Cheng, Marta Overchuk, Maneesha A. Rajora, Jenny W. H. Lou, Ying Chen, Martin G. Pomper, Juan Chen, Gang Zheng

Bibliographic record

VenueMolecular Pharmaceutics · 2022
Typeerratum
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchCanada Research ChairsTerry Fox Research InstituteCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaPrincess Margaret Cancer Foundation
KeywordsCitationNoticeLibrary scienceMedicinePhysicsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVAddition and Correct...Addition and CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to “Targeted Theranostic 111In/Lu-Nanotexaphyrin for SPECT Imaging and Photodynamic Therapy”Miffy H. Y. ChengMiffy H. Y. ChengMore by Miffy H. Y. Cheng, Marta OverchukMarta OverchukMore by Marta Overchuk, Maneesha A. RajoraManeesha A. RajoraMore by Maneesha A. Rajora, Jenny W. H. LouJenny W. H. LouMore by Jenny W. H. Lou, Ying ChenYing ChenMore by Ying Chen, Martin G. PomperMartin G. PomperMore by Martin G. Pomperhttps://orcid.org/0000-0001-6753-3010, Juan ChenJuan ChenMore by Juan Chen, and Gang Zheng*Gang ZhengMore by Gang Zhenghttps://orcid.org/0000-0002-0705-7398Cite this: Mol. Pharmaceutics 2023, 20, 1, 783Publication Date (Web):November 9, 2022Publication History Received27 October 2022Published online9 November 2022Published inissue 2 January 2023https://doi.org/10.1021/acs.molpharmaceut.2c00905Copyright © 2022 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views263Altmetric-Citations-LEARN 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 (713 KB) Get e-AlertsSUBJECTS:Optical imaging,Photodynamic therapy,Single photon emission computed tomography,Theranostics 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.261
Teacher spread0.250 · 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.

Study designNot applicable
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

Citations4
Published2022
Admission routes1
Has abstractyes

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