MétaCan
Menu
Back to cohort
Record W4388594989 · doi:10.1016/j.dialog.2023.100158

Banning asbestos in talcum powder: Time for action in India

2023· article· en· W4388594989 on OpenAlexaboutno aff
Shalini Singh, Sanchita Roy Pradhan, Amit Yadav, Prashant Kumar Singh

Bibliographic record

VenueDialogues in Health · 2023
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAsbestosTalcMesotheliomaDiscontinuationMedicineLiberian dollarBusinessEnvironmental healthToxicologySurgeryFinancePathology

Abstract

fetched live from OpenAlex

Long-term use of asbestos-contaminated talcum power has been reported to be the main causative agent for carcinogenesis in many research studies. In recent developments Johnson & Johnson has lost multimillion-dollar lawsuits for being associated with the development of mesothelioma and ovarian cancer by its talc-based baby powder. In May 2020, the company announced, the end of the sale of its baby powder in the USA and Canada and in August 2022, announced the global discontinuation by 2023. However, in India vast proportions of people are using talc-based baby powder and the products are readily available in the market. The purpose of this communication is to create awareness and draw attention of authorities for effective regulation, including prohibition of sale and retraction of the contaminated talc-based products from the Indian market at the earliest.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0080.004
Open science0.0020.004
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.353
Teacher spread0.302 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDialogues in HealthSame topicOccupational and environmental lung diseasesFrench-language works237,207