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Record W2981013951 · doi:10.1080/22221751.2019.1677177

Molecular surveillance of antimicrobial resistance and transmission pattern of <i>Mycobacterium leprae</i> in Chinese leprosy patients

2019· article· en· W2981013951 on OpenAlex
Santosh Chokkakula, Zhiming Chen, Haiqin Jiang, Yanqing Chen, Ying Shi, Wenyue Zhang, Wei Gao, Jun Yang, Jinlan Li, Li Xiong, Tiejun Shui, Jun He, Limei Shen, Jie Liu, De Wang, Hao Wang, Huan Chen, Yanfei Kuang, Ziyi Chen, Meiwen Yu, Liangbin Yan, Naveenchandra Suryadevara, Varalakshmi Vissa, Weida Liu, Hongsheng Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmerging Microbes & Infections · 2019
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsMycobacterium lepraeLeprosyAntibiotic resistanceTransmission (telecommunications)MicrobiologyVirologyBiologyAntimicrobialMedicineAntibioticsImmunologyComputer science

Abstract

fetched live from OpenAlex

= 0.044) cases with lack of BI decline. Most of these mutated strains were geographically separated and diverged genotypically. AMR mutations may not be the main cause of the lack of BI decline. The low transmission of AMR strains at the county level indicates an ongoing transmission at close contact levels.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

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

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 head0.003
GPT teacher head0.241
Teacher spread0.238 · 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