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Record W638216755

The regulation of assisted reproductive technology

2003· book· en· W638216755 on OpenAlexaboutno aff
Jennifer Gunning, Helen Szoke

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationReproductive technologyAssisted reproductive technologyLesbianStatutory lawReproductive rightsHuman reproductionReproductionHuman rightsPolitical scienceEnvironmental ethicsSociologyLawGender studiesPopulationReproductive healthMedicineBiologyDemographyEcology
DOInot available

Abstract

fetched live from OpenAlex

ART Legislation Around The World: Current legislation in Europe, Shaun D. Pattinson The HFEA - 10 years on, Ruth Deech A survey of regulation of assisted reproductive technology in Asia, Jothi Kumar Canada's proposal for legislation on assisted human reproduction, Francine Manseau Regulating ART in the USA - a mixed approach, Jennifer Gunning Development of regulation of assisted reproduction: a world view of early days, Louis Waller Australia - a federated structure of statutory regulation of ART, Helen Szoke The New Zealand way - ART within an ethical framework, Rosemary De Luca. Access to ART: Access to assisted reproductive technology by people with high genetic risks and transmittable diseases, Guido Pennings Should there be limits on who may access assisted reproductive services? - a legal perspective, Kristen Walker Lesbian couples in DI practice, Anne Braeways Fertility rights - will the UK's Human Rights Act make any difference to access to assisted conception treatment?, Eric Blyth. Issues in the Regulation of ART: Choosing a child's future? - Reproductive decision-making and pre-implantation genetic diagnosis, Belinda Bennett Stored embryos and the value of genetic ties, Giuliana Fuscaldo Public interest in embryos, Julian Savulescu New consultation management process for managing divergent community views - lesbian and single women's access to artificial insemination and ARTs, Leslie Cannold and Lynn Gilliam The Australian experience of self-accreditation, Douglas Saunders Can the use of human embryos for research be banned or would that be unconstitutional in Australia?, Mark Richardson Therapeutic cloning - tortious risk management issues, Brenda McGivern.

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)0.000
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.435
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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
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

Citations24
Published2003
Admission routes1
Has abstractyes

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