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Record W3126107383 · doi:10.17140/epoj-5-121

Challenges Related to Antimalarial Abuse in Coronavirus Disease-2019 Treatment in the Democratic Republic of Congo

2020· article· en· W3126107383 on OpenAlexaff
Anselme Manyong, Ange Landela

Bibliographic record

VenueEpidemiology - Open Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsImpact
Fundersnot available
KeywordsMalariaPharmacyMedicineIntensive care medicineCoronavirus disease 2019 (COVID-19)DiseaseDrug resistancePandemicEnvironmental healthFamily medicineInfectious disease (medical specialty)ImmunologyBiologyPathology

Abstract

fetched live from OpenAlex

Malaria is endemic to many African countries and geographies and remains the leading cause of morbidity and mortality on the continent. Ongoing efforts by health authorities to reverse the scale of malaria are often faced to the challenges of drug resistance often generated by therapeutic abuses relating to self-medication, sub-therapeutic under dosages and poor storage and handling of drugs throughout the pharmacy supply chain system.

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 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)0.005
metaresearch head score (Gemma)0.008
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 score0.393
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.203
GPT teacher head0.430
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2020
Admission routes1
Has abstractyes

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