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Record W4389309614 · doi:10.1002/ece3.8955

Issue Information

2023· paratext· en· W4389309614 on OpenAlexfundno aff

Bibliographic record

VenueEcology and Evolution · 2023
Typeparatext
Languageen
FieldAgricultural and Biological Sciences
TopicInvertebrate Taxonomy and Ecology
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationStony Brook UniversityDeutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-LeipzigIndependent University, BangladeshBeijing Forestry UniversityUniversity of North Carolina WilmingtonEötvös Loránd TudományegyetemUniversity of California, Los AngelesUniversity of MpumalangaStockholms UniversitetUniversität LeipzigUniversität ZürichSyddansk UniversitetAkademie Věd České RepublikySwansea UniversityPeking UniversityQueen Mary University of LondonCommonwealth Scientific and Industrial Research OrganisationUniversità degli Studi di Napoli Federico IICardiff UniversityUniversity of BathUniversity of OxfordVictoria UniversityAgroscopeUniversidade Federal de ViçosaNational University of SingaporeUniversity of Nevada, RenoUniversity of AberdeenInstitut National de la Recherche AgronomiqueJyväskylän YliopistoUniversity of EssexUnited Arab Emirates UniversityFriedrich-Schiller-Universität JenaIndian Institute of ScienceInstitut Français de Recherche pour l'Exploitation de la MerUniversity of South AustraliaMcGill UniversityUniversidade Federal de Minas GeraisVancouver Island UniversityUniversity of OtagoVirginia Polytechnic Institute and State UniversityAarhus UniversitetSzent István EgyetemUniversidad Austral de ChileWashington University in St. LouisYale University
KeywordsCitationComputer scienceWorld Wide WebInformation retrievalLibrary science

Abstract

fetched live from OpenAlex

Aims and

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)0.002
metaresearch head score (Gemma)0.010
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 score0.127
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8730.808

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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