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Record W2150147450

The Race to Patent the SARS Virus: The TRIPS Agreement and Access to Essential Medicines

2004· article· en· W2150147450 on OpenAlexaboutno aff
Matthew Rimmer

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2004
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyTRIPS AgreementPaceNoveltyTRIPS architectureDilemmaRace (biology)Patent lawEssential medicinesBusinessPolitical scienceLaw and economicsLawHealth careEconomicsEngineeringSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

This article considers the race to sequence the Severe Acute Respiratory Syndrome virus ('the SARS virus') in light of the debate over patent law and access to essential medicines. Part II evaluates the claims of public research institutions in Canada, the United States, and Hong Kong, and commercial companies, to patent rights in respect of the SARS virus. It highlights the dilemma of ’defensive patenting' - the tension between securing private patent rights and facilitating public disclosure of information and research. Part III considers the race to patent the SARS virus in light of wider policy debates over gene patents. It examines the application of such patent criteria as novelty, inventive step, utility, and secret use. It contends that there is a need to reform the patent system to accommodate the global nature of scientific inquiry, the unique nature of genetics, and the pace of technological change. Part IV examines the role played by the World Trade Organization and the World Health Organization in dealing with patent law and access to essential medicines. The article contends that there is a need to ensure that the patent system is sufficiently flexible and adaptable to accommodate international research efforts on infectious diseases.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.023
GPT teacher head0.269
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2004
Admission routes1
Has abstractyes

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