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Record W2000795297 · doi:10.1136/bmj.g7380

Generics manufacturer Apotex files lawsuit against Health Canada over import ban

2014· article· en· W2000795297 on OpenAlexaboutno aff
O. Dyer

Bibliographic record

VenueBMJ · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLawsuitBusinessWorld Wide WebMedicineData scienceComputer scienceLawPolitical science

Abstract

fetched live from OpenAlex

Canada’s health ministry and the country’s largest manufacturer of generic drugs, Apotex, long accused of an overly cosy relationship, are locked in a bitter legal battle after the Canadian health minister, Rona Ambrose, banned the import of all drugs and ingredients made in two Apotex plants in Bangalore, India. Health Canada twice asked Apotex to halt imports from one plant over quality concerns, but the company refused. The minister then banned the products and said that trust between the regulator and the manufacturer had been “broken.” Apotex responded with a lawsuit alleging that Health Canada had acted with “malice” and had folded to pressure from the media and the opposition. “The minister’s decision to implement the import ban was politically motivated and, in particular, was calculated to deflect public and parliamentary criticism of the …

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)0.012
metaresearch head score (Gemma)0.031
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: Other · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.449

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0340.011
Scholarly communication0.0090.003
Open science0.0030.004
Research integrity0.0190.030
Insufficient payload (model declined to judge)0.0100.001

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 head0.047
GPT teacher head0.407
Teacher spread0.360 · 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
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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