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Record W2047942099 · doi:10.1016/j.yrtph.2014.05.018

OECD validation study to assess intra- and inter-laboratory reproducibility of the zebrafish embryo toxicity test for acute aquatic toxicity testing

2014· article· en· W2047942099 on OpenAlexfundno aff
François Busquet, Ruben Strecker, Jane M. Rawlings, Scott E. Belanger, Thomas Braunbeck, Gregory J. Carr, Peter Cenijn, P. Fochtman, Anne Gourmelon, Nicole Hübler, André Kleensang, Melanie Knöbel, Carola Kussatz, Juliette Legler, Adam Lillicrap, Fernando Martı́nez-Jerónimo, Christian Polleichtner, Helena Rzodeczko, Edward R. Salinas, Katharina Schneider, Stefan Scholz, Evert‐Jan van den Brandhof, Leo T.M. van der Ven, Susanne Walter-Rohde, Stefan Weigt, Hilda Witters, Marlies Halder

Bibliographic record

VenueRegulatory Toxicology and Pharmacology · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsnot available
FundersUmweltbundesamtInstituto Politécnico NacionalDepartment for Environment, Food and Rural Affairs, UK GovernmentNewfoundland and LabradorEuropean Chemical Industry CouncilNederlandse Organisatie voor Wetenschappelijk OnderzoekHealth and Environmental Sciences Institute
KeywordsToxicityReproducibilityAcute toxicityToxicologyZebrafishBiologyChemistryMedicineChromatographyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.029
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.028
GPT teacher head0.305
Teacher spread0.277 · 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 designObservational
DomainReproducibility
GenreEmpirical

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

Citations268
Published2014
Admission routes1
Has abstractyes

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