MétaCan
Menu
Back to cohort
Record W2768477010 · doi:10.1177/0003603x17733357

Drug Patent Settlements Around the World

2017· article· en· W2768477010 on OpenAlex
Michael A. Carrier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Antitrust Bulletin · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsPleadingEnforcementLawSupreme courtHuman settlementPatent lawPatent trollBusinessCausationState (computer science)PaymentPatent infringementChoice of lawIntellectual propertyLaw and economicsEconomicsPolitical scienceJurisdictionEngineeringFinance

Abstract

fetched live from OpenAlex

One of the most pressing antitrust issues today involves settlements by which brand-name drug companies pay generic firms to settle patent litigation and delay entering the market. Whether this activity constitutes an antitrust violation is a subject that has occupied courts and enforcement agencies around the world. This article focuses on the law in the United States, where the law is most developed. It explores the issues courts have addressed after the Supreme Court’s 2013 decision in FTC v. Actavis, including payment, the patent merits, the Rule of Reason, pleading requirements, causation, and state law. The article also analyzes European law and enforcement, in particular seven monitoring reports and two significant rulings against companies. Finally, it briefly discusses developments in the UK, Canada, India, and Korea.

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.

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 categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.556
Threshold uncertainty score1.000

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 studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.015

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 head0.128
GPT teacher head0.242
Teacher spread0.114 · 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