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Record W2089528039 · doi:10.1136/bmj.327.7421.978

Assisted conception and the law in the United Kingdom

2003· review· en· W2089528039 on OpenAlexaff
Peter Braude

Bibliographic record

VenueBMJ · 2003
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsStatutory lawLawGovernment (linguistics)EmbryologyReproductive technologyPolitical scienceLegislationMedicineEngineeringBiologyCryopreservationGeneticsPhilosophyAnatomy

Abstract

fetched live from OpenAlex

Along with advances in technology comes the need for government guidelines and laws to ensure that those technologies are used safely and responsibly. This article covers the development of the rules in the United Kingdom that govern assisted conception, and the implications of these rules for day to day clinical practice. The Human Fertilisation and Embryology Act was passed in 1990 in response to the report of the Committee of Inquiry into Human Fertilisation and Embryology (the Warnock report), which examined three main public concerns. These were: The act established the Human Fertilisation and Embryology Authority (HFEA), and its licensing and inspection procedures, as the main mechanism for regulating these activities. ![][1] Baroness Mary Warnock chaired the Committee of Inquiry into Human Fertilisation and Embryology 1982-4 The HFEA is a statutory non-departmental public body and is accountable to the secretary of state for health. Established in 1991, it is the first statutory body of its type in the world. It has 18 members who are appointed by the secretary of state, including a lay chairperson and a deputy chairperson. At least one third, but not more than half, of its membership may be registered medical practitioners or those who have been involved with assisted conception or its research funding. View this table: Assisted conception treatments that require an HFEA licence* Three types of licences can be granted by the HFEA. A treatment licence allows the unit to pursue treatments that fall under the act. A storage licence allows cryopreservation and storage of gametes and embryos. A research licence is needed to perform any research that uses human embryos in vitro. View this table: Research using human embryos in vitro permitted under an HFEA … [1]: /embed/graphic-1.gif

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.239
GPT teacher head0.456
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2003
Admission routes1
Has abstractyes

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