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Record W2621185181 · doi:10.1159/000460699

Structure and Development of the List of Prohibited Substances and Methods

2017· article· en· W2621185181 on OpenAlexaff
Audrey Kinahan, Richard Budgett, Irene Mazzoni

Bibliographic record

VenueMedicine and sport science/Medicine and sport · 2017
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsWorld Anti-Doping Agency
Fundersnot available
KeywordsAgency (philosophy)Competition (biology)Political scienceBusinessOperations researchLawLaw and economicsEngineeringSociologyBiologySocial science

Abstract

fetched live from OpenAlex

The list of prohibited substances and methods (the List) is the international standard that determines what is prohibited in sport both in- and out-of-competition. Since 2004, the official text of the List is produced by the World Anti-Doping Agency (WADA), the international independent organization responsible for promoting, coordinating, and monitoring the fight against doping in sport. Originally based on the prohibited lists established by the International Olympic Committee, the List has evolved to incorporate new doping trends, distinguish permitted from prohibited routes of administration, and adjust to new analytical and pharmacological breakthroughs. In this chapter, the elements that compose the List as well as the updates over the years are presented.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.372
Teacher spread0.324 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
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

Citations10
Published2017
Admission routes1
Has abstractyes

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