MétaCan
Menu
Back to cohort
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

Materials for energy and sustainability rsc.li/materials-aThe Royal Society of Chemistry is the world's leading chemistry community.Through our high impact journals and publications we connect the world with the chemical sciences and invest the profits back into the chemistry community.

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)0.007
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 score0.048
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9520.928

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; 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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