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Record W3048183018 · doi:10.32553/jbpr.v9i4.781

STUDY ON REGISTRATION AND REGULATORY REQUIREMENTS FOR VACCINES IN USA, EUROPE AND CANADA

2020· article· en· W3048183018 on OpenAlexaboutno aff
Shoukat Ali, Shanthakumar GS, P Shrikanth, Ayushi Agrawal, Navya BR

Bibliographic record

VenueJournal of Biomedical and Pharmaceutical Research · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsMarketing authorizationAuthorizationEuropean commissionPharmacovigilanceAgency (philosophy)LicenseEuropean unionMedicineLicensureCommissionDrug approvalMember statesBusinessPolitical sciencePharmacologyAdverse effectDrugComputer securityInternational tradeComputer scienceFinanceMedical educationLaw

Abstract

fetched live from OpenAlex

In recent years vaccines are the foremost necessary health intervention globally. An immunizing agent could also be a biological preparation that will increase the immunity to a specific wellness. The development of an immunizing agent could be a posh and tedious method. A strict regulatory guidelines used to figure out the protection, efficacy, and quality should be achieved throughout the development of a vaccine for its authorization. In USA biologics were regulated by the Centre for Biologics Evaluation and Research (CBER) beneath USFDA. In Europe, European Medicines Agency (EMA) regulates the biologics and authorization is granted by the European Commission (EC). In Canada, vaccines are regulated by Biologics and Genetics Therapy Directorate (BGTD) under Health Canada (HC). For Registration of vaccine, Biologics license application (BLA) in USA, marketing authorization application (MAA) in EU and New Drug Submission (NDS) Application in Canada ought to be submitted. While registration of a vaccine, post-marketing surveillancestudies such as VAERS should be done in USA, Pharmacovigilance system in Europe and Canadian Adverse Events Following immunization surveillance system (CAEFISS) in Canada monitors the safety of a vaccine.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.404
GPT teacher head0.536
Teacher spread0.133 · 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 designObservational
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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