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Record W6967809012 · doi:10.5281/zenodo.1079863

Generic Drug In Global Market And Regulatory Environment

2017· article· en· W6967809012 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Quality and Counterfeiting
Canadian institutionsnot available
Fundersnot available
KeywordsGeneric drugRegulatory agencyHarmonizationDrug developmentAgency (philosophy)Regulatory affairsPharmaceutical industryGood manufacturing practiceDrugRegulatory science

Abstract

fetched live from OpenAlex

Different regulatory authorities regulate the drug development in various countries of the world. Various Regulatory authority for generic drug application Food and Drug Administration (FDA), European Medicines Agency (EMA), Pharmaceutical and Medical Devices Agency (PMDA), Health Product and Food Branch (HPFB) Central Drug Standard of Organization (CDSO). Generic manufacturers may file an abbreviated New Drug Application (ANDA) that incorporates the safety/effectiveness data submitted by original innovator drug manufacturer and adds only bioequivalence studies. Therefore it is very difficult and challenging task to approve a drug by the manufacturing companies, simultaneously submitted in all the regulatory authorities. Regulatory authorities are responsible to ensure the quality, safety, and efficacy including manufacturing, distribution of the drug product. There is lot of challenges for the pharmaceutical industry to development and filling of generic drug application, which can be overcoming by the common format of submission. This is due to the different regulatory procedure of the various countries. Through the international conference on harmonization (ICH) process common technical documents (CTD) has been developed for USA, EU, JAPAN, INDIA AND CANADA. There are few differences in the dossier submission for among these five regions. To development of any generic drug product still we need strategic planning by these regulatory authorities. Keywords: Generic drug, Regulatory authority, Drug development, FDA, ANDA, ICH

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.060
GPT teacher head0.306
Teacher spread0.246 · 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 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
Published2017
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicPharmaceutical Quality and CounterfeitingFrench-language works237,207