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Record W1985103305 · doi:10.1136/bmj.323.7321.1085

Report clears researcher who broke drug company agreement

2001· article· en· W1985103305 on OpenAlexaboutno aff
David J. Spurgeon

Bibliographic record

VenueBMJ · 2001
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)MedicineFamily medicineDrug CompanyConfidentialityWaiverPolitical scienceLawManagement

Abstract

fetched live from OpenAlex

A new report has urged Canada's federal government to do more to curb attempts by pharmaceutical companies to influence the conduct and publication of clinical studies carried out by researchers into their products. The report, commissioned by the Canadian Association of University Teachers, follows a four year dispute at the Toronto Hospital for Sick Children, centring on attempts by a drug company to prevent publication of results of a trial that were unfavourable in relation to one of its products. The dispute began after researcher Dr Nancy Olivieri decided to break a confidentiality agreement with Apotex, a Toronto based pharmaceutical company that was sponsoring her research. She published results critical of the drug deferiprone, which she was testing in young patients with thalassaemia, in the New England Journal of Medicine (1998;339:417-23). Dr Olivieri, former head of the hospital's haemoglobinopathy programme, was threatened with legal action by Apotex and also removed from her hospital post, though she …

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)0.001
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 score0.399
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.401
Teacher spread0.325 · 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

Citations10
Published2001
Admission routes1
Has abstractyes

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