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Record W2916721975 · doi:10.1177/0098858818821135

An Ethical and Legal Analysis of Ovascience – A Publicly Traded Fertility Company and its Lead Product AUGMENT

2018· article· en· W2916721975 on OpenAlexaffabout
Katarina Lee

Bibliographic record

VenueAmerican Journal of Law & Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsAugmentFood and drug administrationClinical trialProduct (mathematics)LicenseBusinessFertilityOrder (exchange)LawMedicinePolitical scienceFinanceRisk analysis (engineering)Environmental health

Abstract

fetched live from OpenAlex

In May 2015, the first baby created through an emerging ova technology called AUGMENT, was born in Canada. 1 Developed by OvaScience, AUGMENT essentially introduces mitochondria sourced from the genetic mother into her own ovum in order to revitalize the ovum. 2 This technology is controversial because OvaScience is a publicly traded company, and it is driven by short-term results, such as earnings; 3 and (2) OvaScience did not complete adequate clinical trials before offering AUGMENT to the public. 4 Moreover, in its 2014 annual report, OvaScience declared that it was intentionally offering its products in countries where clinical trials are not required. 5 The lack of adequate clinical trials is the primary reason underlying the Food and Drug Administration's (“FDA”) prohibition of the technology in the United States. 6 Finally, as of August 2018, OvaScience has shifted its research away from AUGMENT, and it only offers it through an “exclusive license to IVF Japan Group in Japan.” 7

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.052
GPT teacher head0.383
Teacher spread0.331 · 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 designObservational
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

Citations6
Published2018
Admission routes2
Has abstractyes

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