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Record W4244642702 · doi:10.1002/qua.25257

Issue information

2017· paratext· en· W4244642702 on OpenAlexfundno aff

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2017
Typeparatext
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
FundersDebreceni EgyetemIndian Institute of Technology BombayAuburn UniversityUniversity of WaterlooWaseda UniversityUtah State UniversityKanagawa Academy of Science and TechnologyUniversity of North TexasTulane UniversityMichigan State UniversityUniversitetet i TromsøGeorgia Institute of TechnologyCollege of Engineering, Michigan State UniversityHelsingin Yliopisto
KeywordsComputer scienceCitationInformation retrievalWorld Wide WebLibrary science

Abstract

fetched live from OpenAlex

Conceptually, density functional theory (DFT) depends totally on electron density.However, the kinetic energy density functional (KEDF) form is not known exactly and its available approximations are not accurate enough.On article e25373, Alharbi and Kais present a new promising approach, based on determining axiomatically the physically acceptable forms of D-dimentional KEDF and then statistically fitting those using exactly solvable potentials.The method can open a new search for highly accurate KEDF and can be an important step toward finding a universal energy functional -a critical outstanding problem in DFT.

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)0.012
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 score0.098
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9020.804

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 head0.021
GPT teacher head0.309
Teacher spread0.288 · 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
Published2017
Admission routes1
Has abstractyes

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