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Record W4224994360 · doi:10.1017/9781108891103

Injunctions in Patent Law

2022· book· en· W4224994360 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementFlexibility (engineering)Patent lawPatent trollLaw and economicsPatent infringementPolitical scienceLawBusinessIntellectual propertyEconomicsManagement

Abstract

fetched live from OpenAlex

Patents are important tools for innovation policy. They incentivize the creation and dissemination of new technical solutions and help to disclose their working to the public in exchange for limited exclusivity. Injunctions are important tools of their enforcement. Much has been written about different aspects of the patent system, but the issue of injunctions is largely neglected in the comparative legal literature. This book explains how the drafting, tailoring and enforcement of injunctions in patent law works in several leading jurisdictions: Europe, the United States, Canada, and Israel. The chapters provide in-depth explanation of how and why national judges provide for or reject flexibility and tailoring of injunctive relief. With its transatlantic and intra- European comparisons, as well as a policy and theoretical synthesis, this is the most comprehensive overview available for practicing attorneys and scholars in patent law. This book is also available as Open Access on Cambridge Core.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.903
Threshold uncertainty score0.983

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.237
Teacher spread0.192 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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