MétaCan
Menu
Back to cohort
Record W3137707843

3D Printing and the Law: Are CAD Files Copyright-protected?

2015· article· en· W3137707843 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldComputer Science
TopicDigital Rights Management and Security
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsCADRelation (database)3D printingComputer sciencePublic domainProcess (computing)Digital printingEngineering drawingComputer graphics (images)EngineeringDatabaseMechanical engineeringOperating system
DOInot available

Abstract

fetched live from OpenAlex

3D printing has emerged as one of the most significantly disruptive technologies in the digital economy. The process of 3D printing involves the preparation of a computer-assisted digital (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, using fine strands of molten plastic, ceramic, or even metal powder. This makes it possible to easily turn digital bits into physical objects. The technology's potential as a game changer, in this respect, presents challenging legal questions, which need to be addressed before the technology becomes more commonplace. This article focuses on issues that arise in copyright law in relation to the CAD files used by the printers. It is unclear whether copyright protection may exist over these design files, and if so, under what circumstances. Thus, this article examines subsistence of copyright over CAD files to be used in 3D printing: whether copyright exists and applies to the work.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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