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Rationale for the study of the human sex ratio in population studies of polluted environments

2002· review· en· W2096206987 on OpenAlexaff
John Jarrell

Bibliographic record

VenueCadernos de Saúde Pública · 2002
Typereview
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSex ratioInfertilityCausality (physics)DemographyIdentification (biology)PopulationMedicineEnvironmental healthBiologyPregnancyEcology

Abstract

fetched live from OpenAlex

The human secondary sex ratio remains a subject of substantial interest. The possibility has been raised that environmental chemical exposures have played a role in the changes associated with the sex ratio in a number of countries. The possibility that such an effect may be present is supported at least theoretically by the observation that clomiphene citrate, a drug used in the treatment of infertility with powerful estrogenic and anti-estrogenic properties, has profound effects on the sex ratio resulting in significantly fewer males at birth. Using a model of causality based on the clinical identification of adverse drug effect methodology one may improve the objectivity of the assessment of significant environmental exposures on this human reproductive outcome.

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)0.075
metaresearch head score (Gemma)0.059
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.075
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0750.059
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.006
Science and technology studies0.0010.017
Scholarly communication0.0030.004
Open science0.0060.004
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0030.002

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 head0.246
GPT teacher head0.419
Teacher spread0.172 · 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
GenreReview

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

Citations16
Published2002
Admission routes1
Has abstractyes

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