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Record W2103695778 · doi:10.1093/humrep/dep385

Bisphenol A exposure and sexual dysfunction in men: Editorial commentary on the article 'Occupational exposure to bisphenol-A (BPA) and the risk of self-reported male sexual dysfunction' Li et al., 2009.

2009· letter· en· W2103695778 on OpenAlexaboutno aff
Richard M. Sharpe

Bibliographic record

VenueHuman Reproduction · 2009
Typeletter
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsnot available
Fundersnot available
KeywordsBisphenol ASexual dysfunctionOccupational exposureMedicineErectile dysfunctionBisphenol SPsychologyGynecologyInternal medicineEnvironmental healthChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

There is a long, ongoing controversy about the potential health effects of bisphenol A in humans (Bucher et al., 2009 ). There are two, diametrically opposed views. One side argues vociferously, based on animal experiments, that bisphenol A may exert numerous adverse effects in humans, ranging from reproductive development disorders through obesity effects to cancer induction/progression. The other side argues, also based on animal experiments, that bisphenol A poses no significant health risks to humans. This stand-off is not simply about ‘scientists squabbling about who is right or wrong’, as there are similar differences in reaction between authorities, as Canada and some US states have chosen to ban use of bisphenol A in baby feeding bottles, whereas others (e.g. EU) have said there is nothing for consumers to worry about. What is not disputed is that we are all exposed daily to bisphenol A (Calafat et al., 2008 ); our exposure is mainly via bisphenol A that has leached into food from containers (Kang et al., 2006 ), as it is used in the making of (heat-resistant) polycarbonate plastics that are used widely as containers for food and beverages as well as in tin-can linings. As with all ‘environmental’ chemicals, the question is whether our exposure is sufficient to cause adverse health effects. Based on the same evidence, different scientists and different authorities appear to have deciphered a very different answer to this question (Bucher et al., 2009 ), so the noninvolved outsider has every reason to be confused.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.281
Teacher spread0.268 · 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 designNot applicable
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

Citations12
Published2009
Admission routes1
Has abstractyes

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