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Record W4389351957 · doi:10.1039/d3na90118a

Contents list

2023· article· it· W4389351957 on OpenAlexfundno aff

Bibliographic record

VenueNanoscale Advances · 2023
Typearticle
Languageit
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
FundersUniversity of California, Los AngelesUniversity of Illinois at Urbana-ChampaignSouthern University of Science and TechnologyWuhan UniversityUniversidade de VigoNational Chemical LaboratorySouthwest UniversityTsinghua UniversityJilin UniversityIndian Institute of Technology MadrasDalhousie UniversityBeijing University of Chemical TechnologyUlsan National Institute of Science and TechnologyQueensland University of TechnologyUniversity of PennsylvaniaÉcole Polytechnique Fédérale de LausanneMcMaster UniversityMax-Planck-Institut für PolymerforschungChinese Academy of SciencesIndian Institute of ScienceUniversity of Nebraska-LincolnUniversity of SydneyEwha Womans UniversityUniversity of BathPennsylvania State UniversityCarnegie Mellon UniversityUniversity of Science and Technology of ChinaNanyang Technological UniversityAarhus UniversitetNanjing Normal UniversityUniversity of California, San DiegoSeoul National UniversityNational Institute for Materials ScienceCurtin University of TechnologyMonash UniversityCity University of Hong KongWayne State UniversityUniversity of WashingtonBrown University
KeywordsAcknowledgementAttributionComputer scienceChromatin structure remodeling (RSC) complexWorld Wide WebLibrary scienceComputer securityPsychologyChemistrySocial psychology

Abstract

fetched live from OpenAlex

Permissions Request permissions Contents list Nanoscale Adv., 2023, 5, 6741 DOI: 10.1039/D3NA90118A This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given. Read more about how to correctly acknowledge RSC content.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.9500.918

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 head0.034
GPT teacher head0.309
Teacher spread0.275 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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