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Record W2502569065 · doi:10.1136/oemed-2016-103704

Unreliable proposed ‘new standard’ for assessing asbestos exposure

2016· letter· en· W2502569065 on OpenAlexaff
David Egilman, Xaver Baur, Colin L. Soskolne

Bibliographic record

VenueOccupational and Environmental Medicine · 2016
Typeletter
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAsbestosMesotheliomaOccupational exposureAsbestosisComputer scienceMedicineEnvironmental healthPathologyMaterials science

Abstract

fetched live from OpenAlex

Gilham and colleagues conclude that there is a linear dose–response relationship between lung asbestos burden and the development of mesothelioma, and that the lung burden should be considered a reliable tool to predict future mesothelioma rates in participants born since 1965. The paper and commentary are based on incorrect assumptions that generate both an invalid analysis and invalid conclusions: Only 2% of the fibres identified were chrysotile, while chrysotile represented as much as 90% of the asbestos used in the UK. Chrysotile is not lung biopersistent; but biopersistence correlates with neither lung …

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)0.052
metaresearch head score (Gemma)0.192
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.052
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.192
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0040.011
Scholarly communication0.0060.006
Open science0.0060.004
Research integrity0.0470.076
Insufficient payload (model declined to judge)0.0030.005

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 head0.022
GPT teacher head0.278
Teacher spread0.257 · 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
GenreCommentary

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

Citations3
Published2016
Admission routes1
Has abstractyes

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