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Record W2910622494 · doi:10.4337/9781786434074.00026

Subsistence of copyright over CAD files in 3D printing: the Canadian, the U.S. and European outlook

2018· book-chapter· en· W2910622494 on OpenAlexaboutno aff
Tesh W. Dagne

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureCAD3D printingEngineering drawingEuropean unionThree dimensional printingComputer scienceComputer graphics (images)EngineeringBusinessMechanical engineeringArchaeologyGeographyInternational trade

Abstract

fetched live from OpenAlex

Three-dimensional (3D) printing is a manufacturing method in which materials, such as plastic or metal, are deposited on to one another in thin layers to produce a three-dimensional object. The process of 3D printing involves the preparation of a computer-assisted design (CAD) file, which may be derived from pictures or drawings, scanned from goods using a 3D scanner, or downloaded from websites. Such a file can easily be distributed, copied, modified, and then ‘printed’ by a printer device. As a core element of the 3D printing phenomenon, a number of questions arise over the CAD file, including the subsistence of copyright over CAD files to be used in 3D printing, i.e. whether copyright exists and applies to the work. This chapter discusses the subsistence of copyright over CAD in 3D printing files under Canadian, United States and European Union copyright laws.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.124
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.017
Scholarly communication0.0150.006
Open science0.0020.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.037
GPT teacher head0.245
Teacher spread0.208 · 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 designNot applicable
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

Citations3
Published2018
Admission routes1
Has abstractyes

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Same venueEdward Elgar Publishing eBooksSame topicIntellectual Property LawFrench-language works237,207