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Record W3125070041

Accounting of Profits to Remedy Biotechnology Patent Infringement

2009· article· en· W3125070041 on OpenAlexvenueaboutno aff
Kurtis Andrews, Jeremy de Beer

Bibliographic record

VenueOsgoode Hall law journal · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsPatent infringementSupreme courtPlaintiffLaw and economicsCLARITYPatent trollCONTESTOrder (exchange)Agricultural biotechnologyScholarshipLawPatentable subject matterEconomicsJurisprudenceBusinessIntellectual propertyPolitical sciencePatent lawAgriculturePatentability
DOInot available

Abstract

fetched live from OpenAlex

A number of important agricultural biotechnology patent disputes have arisen in Canada since the 2004 Supreme Court of Canada decision in Monsanto v. Schmeiser. Typically, defendants no longer contest issues of patent validity or infringement. Instead, the controversies have shifted to discussions about applicable remedies for infringement. The Schmeiser case ostensibly marked a fundamental change in the appropriate method for conducting an accounting of the profits that a defendant infringer must disgorge to a plaintiff patentee. The remedy of accounting of profits in patent cases, however, remains mired in definitional and conceptual confusion, which the Schmeiser case has brought to the forefront of disputes. The lack of clarity and certainty is harmful to all stakeholders in the patent system. This article makes three key contributions in the field of agricultural biotechnology patents. First, it exposes a largely unrecognized problem pertaining to the legal remedy of accounting of profits for patent infringement. To address this problem, the article corrects misunderstandings about recent court decisions pertaining to the accounting of profits remedy. Second, the article critically examines the discourse used to discuss accounting of profits, which includes sometimes inconsistent concepts, terms, and definitions. This article proposes strategies to facilitate definitional and conceptual coherence in order to establish a framework for future jurisprudence and scholarship on this topic. Finally, the article provides insights into the unsustainability of current trends in this area of law.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.121
GPT teacher head0.229
Teacher spread0.109 · 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 designTheoretical or conceptual
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

Citations4
Published2009
Admission routes2
Has abstractyes

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