Bibliographic record
Abstract
eCTD 4.0 is the first major upgrade of eCTD in over a decade, designed to meet the objective of using a single electronic message standard for exchange of regulatory information through internationally approved standards. It is based on the Health Level Seven (HL7) Standard called Regulatory Product Submissions (RPS). HL7 is an ISO-certified standards body that builds health standards, specifically for North America but has been adopted worldwide. With RPS, the regulatory information is transferred in the form of an xml message that is represented by the colour coded R-MIM (Refined Message Information Model) diagram which efficiently describes each content of the regulatory data to be processed and exchanged between sponsors and regulatory authorities. The International Council on Harmonisation (ICH) has adopted the RPS standard as basis for eCTD version 4.0, and implementation guides for this format have been issued by ICH, US FDA, Health Canada, Japan PMDA, and EU EMA. ICH has built requirements into RPS that significantly enhances the regulatory submission and review process for sponsors and regulatory officials in the eCTD v4.0 version. This review provides a brief outlook on the new eCTD v4.0 standard.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".