MétaCan
Menu
Back to cohort
Record W4241047385 · doi:10.1109/lsp.2017.2755418

IEEE Signal Processing Society Editorial Board

2017· article· en· W4241047385 on OpenAlexfundno aff

Bibliographic record

VenueIEEE Signal Processing Letters · 2017
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsnot available
FundersUniversidad Rey Juan CarlosUniversidade Estadual de CampinasYonsei UniversityInstitut national de recherche en informatique et en automatique (INRIA)McGill UniversityRWTH Aachen UniversityJohns Hopkins UniversityÉcole Polytechnique Fédérale de LausanneUniversity of Maryland, Baltimore County
KeywordsSignal processingComputer scienceMultidimensional signal processingTelecommunicationsDigital signal processingComputer hardware

Abstract

fetched live from OpenAlex

Digital Object Identifi er 10

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)0.004
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.877
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.1230.117

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 head0.031
GPT teacher head0.262
Teacher spread0.231 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Signal Processing LettersSame topicSensor Technology and Measurement SystemsFrench-language works237,207