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Record W4319317862 · doi:10.1007/s40319-023-01284-0

Brain Patents as a Legal or Societal Challenge?

2023· article· en· W4319317862 on OpenAlexfundno aff
Tade Matthias Spranger

Bibliographic record

VenueGRURRR. Gewerblicher Rechtsschutz und Urheberrecht, Rechtsprechungs-Report/GRUR-DVD/GRUR-CD/IIC/Gewerblicher Rechtsschutz und Urheberrecht/Gewerblicher Rechtsschutz und Urheberrecht. Internationaler Teil · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchInstitute of Neurosciences, Mental Health and AddictionRheinische Friedrich-Wilhelms-Universität BonnBundesministerium für Bildung und Forschung
KeywordsFlaggingScope (computer science)Competence (human resources)Patent lawPosition (finance)BusinessLaw and economicsHuman rightsDimension (graph theory)EnforcementPolitical scienceLawIntellectual propertyEconomicsManagementComputer science

Abstract

fetched live from OpenAlex

Abstract Patents relating to the human brain and its functions regularly fulfil the general patent requirements. In some cases, however, the inventions in question reveal considerable risks for the rights of individuals, but also for society as such, which have a hitherto unknown dimension and which have not been discussed so far. Due to the limited scope of application of the ordre public clause, patent law is fundamentally not in a position to respond adequately to the challenges that exist here. The ratio of patent law and the lack of resources and also, above all, competence of the patent offices for a more extensive ethico-legal analysis mean that patent law is not the right setting for dealing with the existing challenges. Instead, the international organisations responsible for the protection of human rights and their relevant bodies are in particular demand here, although they have so far been unaware of the difficulties that are evident in the area of brain patents. What is needed is the development and establishment of mechanisms that enable the flagging and communication of critical patents, so that the responsible bodies are enabled to fulfil their tasks.

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)0.024
metaresearch head score (Gemma)0.048
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.235
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.048
Meta-epidemiology (narrow)0.0140.014
Meta-epidemiology (broad)0.0110.007
Bibliometrics0.0140.035
Science and technology studies0.0070.008
Scholarly communication0.0080.013
Open science0.0200.009
Research integrity0.0130.025
Insufficient payload (model declined to judge)0.0160.019

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 head0.118
GPT teacher head0.400
Teacher spread0.282 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueGRURRR. Gewerblicher Rechtsschutz und Urheberrecht, Rechtsprechungs-Report/GRUR-DVD/GRUR-CD/IIC/Gewerblicher Rechtsschutz und Urheberrecht/Gewerblicher Rechtsschutz und Urheberrecht. Internationaler TeilSame topicNeuroethics, Human Enhancement, Biomedical InnovationsFrench-language works237,207