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Record W4385282654 · doi:10.1039/d3ta90152a

Contents list

2023· article· fr· W4385282654 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Materials Chemistry A · 2023
Typearticle
Languagefr
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsnot available
FundersIndian Institute of Technology GuwahatiFuzhou UniversityUniversitatea din BucureștiKorea Advanced Institute of Science and TechnologyUppsala UniversitetTechnische Universität DarmstadtJawaharlal Nehru Centre for Advanced Scientific ResearchNankai UniversityShanghai Jiao Tong UniversityUniversity of WaterlooBeijing University of Chemical TechnologyUlsan National Institute of Science and TechnologyKing Abdullah University of Science and TechnologyEidgenössische Technische Hochschule ZürichTechnische Universität DresdenSun Yat-sen UniversityBoise State UniversityTsinghua UniversityHanyang UniversityCentre National de la Recherche ScientifiqueCurtin University of TechnologyUniversity of California, Santa BarbaraRoyal Society of ChemistryUniversity of OxfordEwha Womans UniversityUniversity of BathSungkyunkwan UniversityNational University of SingaporeIndian Institute of ScienceUniversity of SouthamptonUniversity College LondonRoyal SocietyImperial College LondonFudan UniversityXiamen UniversityNorthwestern UniversityUniversity of Pennsylvania
KeywordsComputer science

Abstract

fetched live from OpenAlex

Permissions Request permissions Contents list J. Mater. Chem. A, 2023, 11, 15565 DOI: 10.1039/D3TA90152A 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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0320.002

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 head0.039
GPT teacher head0.292
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueJournal of Materials Chemistry ASame topicMXene and MAX Phase MaterialsFrench-language works237,207