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Record W2738082276 · doi:10.1371/journal.pmed.1002366

Multidrug-resistant gonorrhea: A research and development roadmap to discover new medicines

2017· article· en· W2738082276 on OpenAlexaff
Emilie Alirol, Teodora Wi, Manju Bala, Maria Luíza Bazzo, Xiang‐Sheng Chen, Carolyn Deal, Jo‐Anne R. Dillon, Ranmini Kularatne, Jutta Heim, Rob Hooft van Huijsduijnen, Edward W. Hook, Monica M Lahra, David A. Lewis, Francis Ndowa, William M. Shafer, Liz Tayler, Kimberly Workowski, Magnus Unemo, Manica Balasegaram

Bibliographic record

VenuePLoS Medicine · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsUniversity of Saskatchewan
FundersCenters for Disease Control and PreventionNational Institutes of HealthGlaxoSmithKline
KeywordsGonorrheaMedicineMultiple drug resistanceFamily medicineDrug resistanceIntensive care medicineBiologyMicrobiologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

The number of gonorrhea cases is rising in many settings worldwide, and an increasing proportion of cases are multidrug-resistant. The choice of antimicrobials that can be used for treatment of gonorrhea is very limited, and resistance has even been reported to extended-spectrum cephalosporins, which are the mainstay of currently recommended antimicrobial therapy. Currently, only 3 new chemical entities are in different stages of clinical development for treatment of gonorrhea.

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)0.008
metaresearch head score (Gemma)0.006
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: Methods · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0050.008
Open science0.0020.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0310.008

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 head0.176
GPT teacher head0.420
Teacher spread0.243 · 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
GenreMethods

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

Citations160
Published2017
Admission routes1
Has abstractyes

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