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Record W2974233844 · doi:10.1071/ma19032

International postal, quarantine and safety regulations

2019· article· en· W2974233844 on OpenAlexfundno aff
David Smith, Matthew J. Ryan

Bibliographic record

VenueMicrobiology Australia · 2019
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
FundersAustralian Centre for International Agricultural ResearchAgriculture and Agri-Food CanadaMinistry of Agriculture of the People's Republic of ChinaDepartment for International Development
KeywordsLegislationBusinessBiosecurityLegislatureDeliverableEngineeringPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

There are numerous legislative regulations that impact on microbiology, microbial Biological Resource Centres (mBRCs) and culture collections, with which all microbiologists must comply. These affect access for collection, handling, distribution/shipping and utilisation of microbial resources. Areas where regulations are triggered are international post, quarantine and safety. The legislation and supporting documents are often difficult to find and understand, therefore the World Federation for Culture Collections (WFCC) has a long history in providing advice and guidance to help compliance with such legislation. A visit to the WFCC library (http://www.wfcc.info/wfcc_library/) will provide information on postal requirements shipping dangerous goods and on control measures in place for biosecurity to control access to dangerous pathogens. This paper will update such communications and provide relevant information on: Health and Safety (H&S); Quarantine regulations; and Postal Regulations and Safety. Other papers in this special issue will address elements that impact on distribution and use of microorganisms for example in packaging, legislation on the proliferation, distribution and misuse of dangerous pathogens, export licensing measures, the Convention on Biological Diversity and the Nagoya Protocol, ownership of Intellectual Property Rights (IPR) and the provision of safety information to the recipient of microorganisms. The advice is generic and users are advised to refer to their own National guidance and implementation acts to ensure they are compliant. The work was compiled

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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score1.000

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.268
Teacher spread0.256 · 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.

Study designBench or experimental
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

Citations5
Published2019
Admission routes1
Has abstractyes

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