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Record W4400097967 · doi:10.1007/978-3-031-63772-8

Computational Science – ICCS 2024

2024· book· en· W4400097967 on OpenAlexfundno aff

Bibliographic record

VenueLecture notes in computer science · 2024
Typebook
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryUniversitat Politècnica de ValènciaHouston Methodist Research InstituteNOVA Laboratory for Computer Science and InformaticsPázmány Péter Katolikus EgyetemKing's College LondonBasque Center for Applied MathematicsPolitechnika KoszalińskaUniversidade Federal de Minas GeraisUniversidade de Santiago de CompostelaNational University of Defense TechnologyUniversité de GenèveBulgarian Academy of SciencesUniversidade Nova de LisboaCentral Michigan UniversityDurham UniversityUniversidade de São PauloInstituto Politécnico de BragançaHouston Methodist HospitalUniversitetet i OsloUniversidad de MurciaUniversität HamburgDanmarks Tekniske UniversitetConsiglio Nazionale delle RicercheEuskal Herriko UnibertsitateaQueen's UniversityKing Abdullah University of Science and TechnologyForschungszentrum JülichUniversiteit van AmsterdamUniversità degli Studi di Milano-BicoccaPolitechnika WarszawskaFundação para a Ciência e a TecnologiaUniversità degli Studi di MilanoCurtin University of TechnologyNanyang Technological UniversityUniversidade de Trás-os-Montes e Alto DouroScience and Technology Facilities CouncilUniversity of GlasgowUniversiteit LeidenUniversidade de AveiroUniversity of WestminsterUniversidad de MálagaUniversity of Southern CaliforniaUniversity College LondonScuola Internazionale Superiore di Studi AvanzatiImperial College LondonRTI InternationalUK Research and InnovationUniversity of TwenteWilfrid Laurier UniversityUniversidad de SevillaUniversitat Autònoma de BarcelonaInstitut de Ciències Fotòniques
KeywordsComputer scienceTheoretical computer science

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)0.003
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 score0.290
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2900.188

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 head0.064
GPT teacher head0.365
Teacher spread0.301 · 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

Citations2
Published2024
Admission routes1
Has abstractno

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