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Record W2173547808 · doi:10.1093/cid/civ553

Regulatory In Vitro Diagnostics Landscape in Africa: Update on Regional Activities

2015· article· en· W2173547808 on OpenAlexfundno aff
Ruth McNerney, Rosanna Ŵ. Peeling

Bibliographic record

VenueClinical Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
FundersGrand Challenges CanadaLondon School of Hygiene and Tropical Medicine
KeywordsExpeditingMandateRisk analysis (engineering)AuditMedicineQuality (philosophy)Process managementBusinessEngineeringAccountingSystems engineering

Abstract

fetched live from OpenAlex

Improved diagnostic tests for tuberculosis case detection are urgently needed that are affordable, robust, and easy to use so that they can be implemented widely. The mandate of national regulatory authorities is to ensure the safety and effectiveness of diagnostics, protecting the population against unsafe products while expediting access to beneficial new devices. However, regulatory approval processes in the developing world are often complex, lengthy, and not transparent. Recent progress in building regulatory capacity using harmonized approaches will reduce duplication in clinical performance studies and manufacturing audits, facilitate information sharing through trust and mutual confidence building, and ultimately improve efficiency. These savings can be passed onto the consumers in the form of more affordable pricing and allowing new high-quality tests for tuberculosis to be introduced more quickly and without delay.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.104
GPT teacher head0.398
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations30
Published2015
Admission routes1
Has abstractyes

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