Record W4386429979 · doi:10.1007/978-981-99-5834-4

Intelligent Information and Database Systems

2023· book· en· W4386429979 on OpenAlexfundno aff

Ngoc Thanh Nguyên, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung‐Pei Hong, Kitsuchart Pasupa, Ali Selamat

Bibliographic record

VenueLecture notes in computer science · 2023

Typebook

Languageen

FieldBusiness, Management and Accounting

TopicBig Data and Business Intelligence

Canadian institutionsnot available

FundersUniversité de SfaxSzkola Glówna Gospodarstwa Wiejskiego w WarszawiePrince Sultan UniversityUniversidade Federal do Rio Grande do NorteAddis Ababa UniversityNational Cheng Kung UniversityUniversitatea Politehnica TimisoaraTechnische Universität BerlinPolitechnika KrakowskaNational Taiwan UniversitySungkyunkwan UniversityUniversidad de ChileUniverzita Hradec KrálovéYeungnam UniversityUniversiti Teknologi MalaysiaBen-Gurion University of the NegevInstituto Tecnológico y de Estudios Superiores de MonterreyEuskal Herriko UnibertsitateaUniversidade de MacauPolitechnika WarszawskaSilesian University of TechnologyWaseda UniversityUniversidad Complutense de MadridSharif University of TechnologySwinburne University of TechnologyZachodniopomorski Uniwersytet Technologiczny w SzczecinieDeakin UniversityUniversité de Technologie de TroyesKing Saud UniversityUniversity of JordanUniversity of WollongongBudapesti Műszaki és Gazdaságtudományi EgyetemEötvös Loránd TudományegyetemUniwersytet Morski w GdyniNational University of SingaporeGazi ÜniversitesiBournemouth UniversityUniwersytet Śląski w KatowicachUniversity of CarthageUniversity of UlsanUniversiteit LeidenRīgas Tehniskā UniversitāteUniversity of the West of EnglandBirmingham City UniversityPosts and Telecommunications Institute of TechnologyUniversiti Teknologi PetronasUniversity of CyprusUniversité du Québec à Trois-RivièresFujian University of TechnologyNational Taiwan University of Science and TechnologyUniversidad de GranadaIndian National Science AcademyCharles Sturt UniversityUniversidad Autónoma de MadridChaoyang University of TechnologyKing Fahd University of Petroleum and MineralsNanyang Technological UniversityInstituto de TelecomunicaçõesNanjing UniversityYildiz Teknik ÜniversitesiSouth Asian UniversityAuckland University of Technology, New ZealandVirginia Commonwealth UniversityConcordia UniversityAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniversity of Notre DameUniversité de LorraineUniversität Passau

KeywordsComputer scienceDatabaseInformation systemInformation retrieval

DOI10.1007/978-981-99-5834-4

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002

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: none

GenreCandidate signal: Other · Consensus signal: none

Teacher disagreement score0.041

Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.001	0.002
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.000
Bibliometrics	0.001	0.002
Science and technology studies	0.001	0.001
Scholarly communication	0.005	0.005
Open science	0.001	0.002
Research integrity	0.001	0.001
Insufficient payload (model declined to judge)	0.041	0.026

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 head0.046

GPT teacher head0.269

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".

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Citations1

Published2023

Admission routes1

Has abstractno

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