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Record W2482818159 · doi:10.5539/jpl.v9n6p29

Legal Principles Governing the Production and Distribution of Blood

2016· article· en· W2482818159 on OpenAlexvenueno aff
M. Partovi, Nahreini Fereidoon

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldMedicine
TopicLegal, Health, Environmental and COVID-19 Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyCompetence (human resources)ComplaintLawDoctrineLiabilityDamagesEconomic JusticeBusinessPolitical scienceMedicinePsychology

Abstract

fetched live from OpenAlex

<p>Use of blood and its derivatives has a special place in ensuring the health of citizens. In recent years, due to risk of transfusion-transmitted infections, followed by risk of serious and incurable diseases such as for people in need AIDS, hepatitis B, C and etc., consumers have been prompted to refer to the courts for litigation and justice. It should be noted that the state, as an exercise of sovereignty and trustee of the exclusive production and distribution of blood products, produce commodities with inevitable insecurity. In this regard, it must observe safety obligations and provide information and warnings to the public in relation to the delayed complications of transfusion medicine. According to existing laws, law doctrine, and judicial procedures, Blood Transfusion Organization and the Center for Blood Research and Fractionation are working under the supervision of the Ministry of Health and Medical Education. In the case of failure tocompliance with the obligations, the state is obliged to compensate the physical, moral, and material damages to victims despite the governmental nature of action, article 11 of the law of civil liability, and in relation to the State Immunity to compensate for the loss of the exercise of sovereignty. Thus, it is possible to execute justice for these people through the legal courts based on the inherent competence of the courts in form of complaint according to additional and exceptional competence of criminal authorities.</p>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.082

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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