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Ethical conflicts around the procedure preimplantation genetic diagnosisand their overcoming by legal remedies based on foreign experience

2020· article· en· W3047328054 on OpenAlexaboutno aff
V.V. Komarova N.A. Altinnik

Bibliographic record

VenuePrenatal Diagnosis · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDigital Transformation in Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationInterpretation (philosophy)Political scienceLawMedicineEngineering ethicsComputer scienceEngineering

Abstract

fetched live from OpenAlex

Objectives. The purpose of this study is to study the essence of ethical conflicts arising over the use of preimplantation genetic diagnosis (PGD) and to identify ways to overcome them by legal means, taking into account existing foreign experience. Materials. The legal acts and doctrinal sources of Australia, Great Britain, Canada, China, New Zealand, USA are investigated. The methods used are: general philosophical, general scientific, private scientific, special (structural-legal, comparative-legal, formal-legal). Results. Ways to resolve ethical conflicts around the PGD procedure that are relevant for use in Russian conditions are proposed. Conclusions. It was established that the resolution of ethical conflicts around the procedure should be based on state legal regulation of requirements related to informing patients about the content of the services provided and the consequences of the procedure, methods and procedures for the independent interpretation of the results. In addition to the official fixing of the list of genetic diseases, for the presence of markers which are allowed to conduct research, the legislation on the protection of the health of citizens must establish a procedure for authorizing PGD in exceptional cases, as well as factors and circumstances that must be taken into account and evaluated when an appropriate decision is made (including the features of a family history, an assessment of the degree of impaired function of the organism, the state of individual organs and their systems during development of the corresponding disease, etc.). Regulatory requirements can be supplemented and developed in the content of professional manuals

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.043
GPT teacher head0.239
Teacher spread0.196 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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