MétaCan
Menu
Back to cohort
Record W2038432359 · doi:10.1093/rpd/ncn292

Chemical risk factors and childhood leukaemia: a review of recent studies

2008· review· en· W2038432359 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

VenueRadiation Protection Dosimetry · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsMcGill University
Fundersnot available
KeywordsChildhood leukaemiaEnvironmental healthPoolingEpidemiologyMedicinePediatricsPathologyComputer science

Abstract

fetched live from OpenAlex

The search for chemical risks factors as determinants of childhood leukaemia has been ongoing for over two decades. Results of epidemiological studies, published from 1998 to the present, evaluating parental smoking, outdoor sources of pollution, indoor contaminants and chemicals from drinking water are reported. Overall, results were mostly negative. This may be due to the relatively small study sizes to detect environmental effects, usually measured imprecisely. Another reason may be that such effects, which may be revealed among the genetically susceptible, have rarely accounted for genetic susceptibility. The few studies that have are also reported here. Suggestions are made for work in the immediate future, which include pooling of data and of analyses, as well as carrying out in-depth reviews of studies with the goal of understanding the reasons for discrepant results.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.039
GPT teacher head0.333
Teacher spread0.294 · 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