MétaCan
Menu
Back to cohort
Record W1559859171 · doi:10.1023/a:1016374314605

DNA‐Sequence Patenting: National Society of Genetic Counselors (NSGC) Position Paper

2002· article· en· W1559859171 on OpenAlexaff
Nathalie McIntosh, Bonnie R. Braddock, Kelly J. Branda, Karen R. Eanet, Simon B. Goldberg, Stephanie Kieffer, Lisa Primiano, Nada Quercia, Kelly Taylor, Judith Tsipis, Beverly M. Yashar, Anne Yesley

Bibliographic record

VenueJournal of Genetic Counseling · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsHospital for Sick ChildrenUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMandateTrademarkPosition (finance)Genetic counselingPosition statementSequence (biology)BusinessPolitical scienceGeneticsMedicineLawFamily medicineBiology

Abstract

fetched live from OpenAlex

In November 2000, the Genetic Services Committee of the National Society of Genetic Counselors (NSGC) convened a working group to draft a position paper on patenting DNA-sequences. The mandate of the group was to produce general position statements that support the perspective and needs of consumers of DNA-based genetic tests and therapies (our patients and their families) and participants in DNA-based genetic research. After review and discussion of the literature on DNA-sequence patenting issues, the working group drafted position statement points that support current United States Patent and Trademark Office (USPTO) guidelines; broad licensing of DNA-sequence patents; nonenforcement of DNA-sequence patents in noncommercial research; reasonable royalty rates; an informed consent process for research participants that discloses whether they can share in any financial rewards relating to the project; the development of guidelines for licensing of DNA-sequence patents; and the establishment of oversight organizations to monitor licensing of DNA-sequence patents. These position statements were approved by the NSGC Board of Directors in the fall of 2001.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.231
Teacher spread0.129 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Genetic CounselingSame topicIntellectual Property and PatentsFrench-language works237,207