Record W4312713907 · doi:10.1109/iscc55528.2022.9912780

Technical Program Committee (TPC) members

2022· article· en· W4312713907 on OpenAlexfundno aff

Bibliographic record

Venue2022 IEEE Symposium on Computers and Communications (ISCC) · 2022

Typearticle

Languageen

FieldEconomics, Econometrics and Finance

TopicDiverse Scientific and Economic Studies

Canadian institutionsnot available

FundersUniversity of NicosiaNational Technical University of AthensUniversity of ThessalyUniversità degli Studi di MessinaInstitut National des Sciences Appliquées de LyonShaoxing UniversityUniversidade Federal do ParanáPontifícia Universidade Católica do Rio de JaneiroUniversidade Federal de PernambucoNational Cheng Kung UniversityUniversità di PisaUniversidade Federal de Juiz de ForaNorthwestern UniversityUniversidade do PortoAristotle University of ThessalonikiInstitut Mines-TélécomUniversidade Estadual de CampinasBilkent ÜniversitesiUniversità di BolognaOulun YliopistoUniversità degli Studi di ParmaTürkiye Bilimsel ve Teknolojik Araştırma KurumuKungliga Tekniska HögskolanUniversità degli Studi di TorinoCalifornia State University, Dominguez HillsUniversità degli Studi di TrentoUniversiteit GentUniversity of BristolUniversité de StrasbourgUniversidade de CoimbraQueen's UniversityNorthwestern Polytechnical UniversityNational and Kapodistrian University of AthensChinese Academy of SciencesUniversity College CorkUniversidade Federal de Minas GeraisQueen's University BelfastSveučilište u ZagrebuUniversity of Northern IowaUniversity of Western MacedoniaUniversidade do Vale do ItajaíUniversity of CyprusUniversité de LilleUniversidad Politécnica de CartagenaUniversity of AlbertaUniversidade Federal de Santa CatarinaUniversity of West AtticaPontifícia Universidade Católica de Minas GeraisUniversità Degli Studi di Modena e Reggio EmilaUniversity of PatrasQingdao UniversityCentre National de la Recherche ScientifiquePolitechnika WarszawskaFlorida Atlantic UniversityNational Council for Scientific ResearchBranco Weiss Fellowship – Society in ScienceUniversidad del AtlánticoUniversidade de BrasíliaUniversity of OttawaDePaul UniversityUniversità degli Studi di Napoli Federico IINorth Carolina State UniversityUniversidade de PernambucoUniversity of GlasgowIndian National Science Academy

KeywordsComputer science

DOI10.1109/iscc55528.2022.9912780

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)0.010

metaresearch head score (Gemma)0.012

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesInsufficient payload (model declined to judge)

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 score0.304

Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.010	0.012
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.004	0.002
Science and technology studies	0.003	0.001
Scholarly communication	0.006	0.002
Open science	0.002	0.003
Research integrity	0.004	0.003
Insufficient payload (model declined to judge)	0.304	0.366

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 head0.038

GPT teacher head0.240

Teacher spread0.202 · 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