MétaCan
Menu
Back to cohort
Record W3193493492 · doi:10.1016/j.sciaf.2021.e00906

Human biomonitoring in the Democratic Republic of Congo (DRC): A systematic review

2021· review· en· W3193493492 on OpenAlex

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

VenueScientific African · 2021
Typereview
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsBiomonitoringEnvironmental healthMEDLINEMedicinePolitical scienceBiologyEcology

Abstract

fetched live from OpenAlex

The aim of this review was to summarise the available HBM data in DRC in order to provide recommendations for developing the HBM field. We performed a systematic search of PubMed/MedLine, EMBASE, and ISI Web of Science for papers on exposure levels to chemicals in DR C (2009-2019). A total of 12 papers were found: 9 in Kinshasa (75.0%) and 3 in Katanga (25.0%). Globally, the results reveal concern about exposure levels to environmental chemicals, mostly heavy metals. Some studies connected HBM data to negative health effects (preeclampsia, birth defects, children's temperament difficulties, holoprosencephaly) demonstrating the importance of regulation in occupational and environmental settings. The recommendations of this review include expanding HBM studies as well as the number of environmental chemicals; and establishment of a national HBM laboratory for developing and/or enhancing the capacity of DRC to undertake a national policy-related HBM.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.418
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.061
GPT teacher head0.347
Teacher spread0.286 · 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