Bibliographic record
Abstract
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
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.072 | 0.048 |
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".