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Record W2082239976 · doi:10.1136/bmj.326.7391.680

Lay campaigners for prostate screening are funded by industry

2003· article· en· W2082239976 on OpenAlexaboutno aff
Jeanne Lenzer

Bibliographic record

VenueBMJ · 2003
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsGrassrootsMedicinePolitical scienceProstate cancerFamily medicineIndependence (probability theory)CancerLawInternal medicine

Abstract

fetched live from OpenAlex

A lay men's group which campaigns for men to take the prostate specific antigen screening test for prostate cancer gets 95% of its funding from the pharmaceutical industry, its chief execu-tive officer admitted last week. The group, called Us Too! International, also led the attack on two doctors who wrote articles in the San Francisco Chronicle (2002 Jan 18;sect A:29) and the BMJ (2002;324:431) arguing that routine screening for prostate cancer was not supported by the evidence. Us Too! International claims to be the world's largest “grassroots, independent, patient-focused charitable organisation” and has 380 chapters in nine countries, including the United States, Canada, Australia, and the United Kingdom. The group emphasises its independence, saying …

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)0.010
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.042
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.007
Scholarly communication0.0110.005
Open science0.0000.006
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0660.015

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 head0.495
GPT teacher head0.577
Teacher spread0.082 · 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.

Study designObservational
DomainIncentives
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

Citations15
Published2003
Admission routes1
Has abstractyes

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