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Record W2284570785

The Barcelona International Conference on Advances in Statistics (BAS 2012) : Abstracts of communications

2012· article· en· W2284570785 on OpenAlexfundno aff
Vladimir Zai͡a︡t͡s︡

Bibliographic record

VenueRECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicMultidisciplinary Science and Engineering Research
Canadian institutionsnot available
FundersRoyal Holloway, University of LondonMinisterio de Ciencia e InnovaciónIsrael Science FoundationMinisterio de Ciencia, Tecnología e Innovación ProductivaRussian Foundation for Basic ResearchAgència de Gestió d'Ajuts Universitaris i de RecercaGeneralitat de CatalunyaNatural Sciences and Engineering Research Council of CanadaEuropean Commission
KeywordsPolitical scienceComputer scienceLibrary scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Conferència Organitzada per l'Escola Politècnica Superior, Universitat de Vic en col·laboració amb Servei d'Estadística de la Universitat Autònoma de Barcelona i CosmoCaixa Barcelona. Celebrada del 18 al 22 de juny de 2012 a Barcelona

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)0.016
metaresearch head score (Gemma)0.028
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: none
Teacher disagreement score0.053
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.028
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0100.007
Science and technology studies0.0020.002
Scholarly communication0.0090.004
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0530.031

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 head0.160
GPT teacher head0.427
Teacher spread0.267 · 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

Citations0
Published2012
Admission routes1
Has abstractno

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