THE REGULATION OF ASSISTED REPRODUCTIVE TECHNOLOGY
Bibliographic record
Abstract
List of figures -- List of tables -- List of contributors - - Acknowledgement -- List of abbreviations -- Introduction -- Ch. 1. Introduction / Helen Szoke and Jennifer Gunning -- Pt. I. ART legislation around the world -- Ch. 2. Current legislation in Europe / Shaun D. Pattinson -- Ch. 3. The HFEA - 10 years on / Ruth Deech -- Ch. 4. A survey of regulation of assisted reproductive technology in Asia / Jothi Kumar -- Ch. 5. Canada's proposal for legislation on assisted human reproduction / Francine Manseau -- Ch. 6. Regulating ART in the USA: a mixed approach / Jennifer Gunning -- Ch. 7. Development of regulation of assisted reproduction: a world view of early days / Louis Waller -- Ch. 8. Australia - a federated structure of statutory regulation of ART / Helen Szoke -- Ch. 9. The New Zealand way: ART within an ethical framework / Rosemary De Luca -- Pt. II. Access to ART -- Ch. 10. Access to assisted reproductive technology by people with high genetic risks and transmittable diseases / Guido Pennings -- Ch. 11. Should there be limits on who may access assisted reproductive services? A legal perspective / Kristen Walker -- Ch. 12. Lesbian couples in DI practice / Anne Brewaeys -- Ch. 13. Fertility rights: will the UK's human rights act make any difference to access to assisted conception treatment? / Eric Blyth -- Pt. III. Issues in the regulation of ART -- Ch. 14. Choosing a child's future? Reproductive decision-making and preimplantation genetic diagnosis / Belinda Bennett -- Ch. 15. Stored embryos and the value of genetic ties / Giuliana Fuscaldo -- Ch. 16. The public interest in embryos / Julian Savulescu -- Ch. 17. A new consultation management process for managing divergent community views: lesbian and single women's access to artificial insemination and ARTs / Leslie Cannold and Lynn Gillam -- Ch. 18. The Australian experience of self- accreditation / Douglas Saunders -- Ch. 19. Can the use of human embryos for research be banned or would that be unconstitutional in Australia? / Mark W. Richardson -- Ch. 20. 'Therapeutic cloning': tortious risk management issues / Brenda McGivern -- Index
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.082 | 0.039 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".