Record W4392412807 · doi:10.1109/swc57546.2023.10448931

SWC 2023 Committees

2023· article· en· W4392412807 on OpenAlexfundno aff

Bibliographic record

Venuenot available

Typearticle

Languageen

FieldMedicine

TopicLegal Cases and Commentary

Canadian institutionsnot available

FundersWestern Sydney UniversityAvignon UniversitéUniversité de Franche-ComtéUniversità degli Studi di MessinaXiamen UniversityNanjing Institute of TechnologyUniversità di PisaTartu ÜlikoolUppsala UniversitetTechnische Universität BerlinUniversità di BolognaNanjing University of Posts and TelecommunicationsXidian UniversityShanghai Jiao Tong UniversityCentre National de la Recherche ScientifiqueUniversità di CataniaNational Cheng Kung UniversityUniversity of WaterlooUniversity of North TexasNorthwestern UniversityNorthern Arizona UniversityDublin City UniversityNanjing University of Aeronautics and AstronauticsUniversidade de MacauEuskal Herriko UnibertsitateaLiverpool John Moores UniversityBeijing University of Posts and TelecommunicationsUniversidade Federal de GoiásUniversity College CorkUniversidad de ZaragozaUniversity of Massachusetts BostonCommonwealth Scientific and Industrial Research OrganisationManchester Metropolitan UniversityUniversity College LondonHaute école Spécialisée de Suisse OccidentaleUniversità degli Studi di Roma Tor VergataUniversity of SouthamptonShenzhen UniversityUniversity of LeicesterCentral South UniversityUniversity of MelbourneSan José State UniversityOak Ridge National LaboratoryKyungpook National UniversityCharles Darwin UniversityUniversità degli Studi di MilanoUniversità degli Studi di SalernoKarlstads universitetSichuan UniversityLeeds Beckett UniversityNorthwestern Polytechnical UniversityUniversity of ExeterTsinghua UniversityOxford Brookes UniversityZhejiang Gongshang UniversityInstitut Mines-TélécomUniversity of BernHong Kong Baptist UniversityUniversity of Texas at San AntonioUniversity of WarwickAnhui UniversityUniversidad de MálagaWaseda UniversityPennsylvania State UniversityDr B R Ambedkar National Institute of Technology JalandharNanjing UniversityUniversità degli Studi di ParmaLamar UniversityDong-Eui UniversityChina University of Mining and TechnologyUniversità degli Studi di Napoli Federico IIUniversity of SurreyEdinburgh Napier UniversityLakehead UniversityGuangzhou UniversityLinköpings UniversitetUniverzita Komenského v Bratislave

KeywordsComputer science

DOI10.1109/swc57546.2023.10448931

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)0.011

metaresearch head score (Gemma)0.037

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 score0.661

Threshold uncertainty score0.942

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.011	0.037
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.002
Bibliometrics	0.003	0.002
Science and technology studies	0.009	0.002
Scholarly communication	0.011	0.003
Open science	0.003	0.005
Research integrity	0.030	0.012
Insufficient payload (model declined to judge)	0.339	0.228

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 head0.030

GPT teacher head0.308

Teacher spread0.278 · 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