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Record W2040174541 · doi:10.1371/journal.pmed.1001793

Humanitarian Access to Unapproved Interventions in Public Health Emergencies of International Concern

2015· article· en· W2040174541 on OpenAlexaff
Jerome Amir Singh

Bibliographic record

VenuePLoS Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of Toronto
FundersNational Institute of Allergy and Infectious Diseases
KeywordsPsychological interventionPublic healthHumanitarian aidMedicinePublic health interventionsGlobal healthPolitical scienceMedical emergencyEnvironmental healthLawNursing

Abstract

fetched live from OpenAlex

Points• Time-sensitive access to unapproved experimental interventions should be permitted on humanitarian grounds when patients or communities are facing death or irreversible disease progression and no other efficacious diagnostic, preventive, or therapeutic alternative exists.• Regulatory deficits could stymie time-sensitive efforts to contain public health threats when no efficacious curative, therapeutic, or preventive interventions exist to counter the threat in question.• United States regulatory mechanisms may provide useful guidance from a regulatory perspective to policy makers grappling with how to adequately prepare for, or respond to, potential or emerging public health emergencies.• Access to unapproved experimental interventions should be underpinned by a robust monitoring and evaluation component that will inform product development and licensure.

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)0.021
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.068
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.004
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0410.001

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 head0.571
GPT teacher head0.495
Teacher spread0.076 · 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 designTheoretical or conceptual
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

Citations11
Published2015
Admission routes1
Has abstractyes

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