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Record W2306967842

The "Planes, Trains, and Automobiles" Defense to Patent Infringement for Today's Global Economy: Section 272 of the Patent Act

2005· article· en· W2306967842 on OpenAlexaboutno aff
Ted L. Field

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Patent infringementTrainBusinessPatent ActInternational tradePatent lawEngineeringLawIntellectual propertyPolitical scienceAdvertisingGeographyCartography
DOInot available

Abstract

fetched live from OpenAlex

In 2004, for the first time ever, the U.S. Court of Appeals for the Federal Circuit applied the little-known temporary-presence defense of 35 U.S.C. § 272 in National Steel Car v. Canadian Pacific Railway. Section 272 provides a defense to patent infringement where a foreign vessel, aircraft, or vehicle enters the United States temporarily to engage in international commerce. The purpose behind § 272 is to prevent domestic patent enforcement from inhibiting international trade. Although this defense may not be well known yet, the Federal Circuit’s broad interpretation of § 272 will allow the temporary-presence defense to become more important as the world continues to become smaller and commerce continues to become more global. Indeed, the vehicles that facilitate transnational commerce will increasingly need to rely on § 272 in today’s global economy. This Article first traces the history of the temporary-presence defense, from its origins in England and the U.S. Supreme Court in the 1850s through the enactment of § 272 in the United States in 1952. This Article also discusses U.S. and foreign cases applying the temporary-presence defense before National Steel Car. Next, this Article analyzes the decisions of the district court and Federal Circuit in National Steel Car and concludes that the Federal Circuit was correct in broadly interpreting § 272. Finally, this Article considers what may be the limits of the scope of the temporary-presence defense of § 272.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0090.004
Open science0.0020.002
Research integrity0.0180.011
Insufficient payload (model declined to judge)0.0040.002

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 head0.098
GPT teacher head0.217
Teacher spread0.119 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes1
Has abstractyes

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Same topicIntellectual Property and PatentsFrench-language works237,207