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Record W2218154692

Implementation of the Common Technical Document (CTD) in Korea

2008· article· ko· W2218154692 on OpenAlexaboutno aff
Soo-Kyung Suh

Bibliographic record

Venue한국생물공학회 학술대회 · 2008
Typearticle
Languageko
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacy and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCTDDocumentationHarmonizationSession (web analytics)New drug applicationLibrary scienceComputer scienceMedicineWorld Wide WebFood and drug administrationRisk analysis (engineering)
DOInot available

Abstract

fetched live from OpenAlex

The Common Technical Document(CTD) is part of the ICH(International Conference on Harmonization) program for developing global, harmonized guidelines for the contents and format of new drug and biologic products applications to be submitted to regulatory agencies in the ICH regions. The CTD is divided into 5 modules : 1. Region specific administrative and prescribing information 2. High level summary 3. Quality -chemical, pharmaceutical and biological documentation 4. Non-clinical study reports 5. Clinical study reports. The potential advantages of CTD can be extensive. A pharmaceutical companies could save in resources and time, so that they could facilitate simultaneous submissions in ICH regions. Also, CTD could provide a more efficient evaluation process with regulators, as well. Finally, a faster availability of new medicines is expected in the future. The CTD was first agreed upon in 2000 and now required inthe EU, Japan, Canada and Switzerland and is strongly encouraged in the US. In Korea, CTD submissions will be accepted by KFDA for New Drug Application in March, 2009. In this session, a general overview of the CTD documents and a detailed introduction with each modules will be presented. The background, scientific and regulatory aspects of CTD documents will be focused.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.135
GPT teacher head0.508
Teacher spread0.372 · 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 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
Published2008
Admission routes1
Has abstractyes

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Same venue한국생물공학회 학술대회Same topicPharmacy and Medical PracticesFrench-language works237,207