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Record W1536826708 · doi:10.1007/978-0-387-39940-9

Encyclopedia of Database Systems

2009· book· en· W1536826708 on OpenAlexafffund
LING LIU

Bibliographic record

Venuenot available
Typebook
Languageen
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsUniversity of Waterloo
FundersLawrence Livermore National LaboratoryNational Institutes of HealthJacobs UniversityMasarykova UniverzitaUniversität KonstanzLibera Università di BolzanoUniversidad de Castilla-La ManchaUniversità di BolognaUniversidad de ChileTechnische Universität DarmstadtChina Scholarship CouncilÉcole Polytechnique Fédérale de LausanneIndian Institute of Technology KanpurYale UniversityUniversity of TorontoFoundation for Research and Technology-HellasEidgenössische Technische Hochschule ZürichNational University of SingaporeUniversity of AlbertaTampereen YliopistoUniversità degli Studi di MilanoInstitut national de recherche en informatique et en automatique (INRIA)University of PatrasDrexel UniversityUniversity of Notre DameVrije Universiteit AmsterdamUniversity of Southern CaliforniaPurdue UniversityGoogleUniversity of WashingtonTechnische Universiteit EindhovenUniversità degli Studi di FirenzeBrown UniversityArizona State UniversityMicrosoft ResearchMicrosoft
KeywordsEncyclopediaComputer scienceDatabaseInformation retrievalWorld Wide WebLibrary science

Abstract

fetched live from OpenAlex

To our families

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.214
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0070.014
Science and technology studies0.0010.001
Scholarly communication0.0090.007
Open science0.0030.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.2140.219

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 head0.013
GPT teacher head0.235
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1,737
Published2009
Admission routes2
Has abstractyes

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